Tag-arkiv: University of Helsinki

Postdoc­toral re­searcher in the labor­at­ory of Mac­ro­molec­u­lar Dynamics

Postdoctoral researcher position open from 1st August 2019 in the laboratory of Macromolecular Dynamics led by Dr Giuseppe Balistreri at the University of Helsinki, Faculty of Biological and Environmental Sciences. The research group is located in the Viikki campus of the University of Helsinki.

The aim of the project is to identify and characterize cellular regulators of human virus infections. The research lies, therefore, at the interface of cell biology and virology. The starting point of the work are genome-wide CRISPR screening approaches performed for selected pathogens, including respiratory and mosquito-delivered viruses. To follow up the results of the screens, the candidate will utilize state-of-the-art microscopy techniques, including high-content imaging, automated image analysis, artificial intelligence and super-resolution microscopy. In addition, an arsenal of biochemical and cell biology approaches will be routinely used in the lab. The main focus of the research is on membrane dynamics and regulators of protein synthesis.

The salary of the successful candidate will be based on level 5 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. The starting salary will be ca. 3100 – 3400 euros/month, depending on the appointee’s qualifications and experience. There will be a trial period of six months in the beginning.

Applications should include the following documents as a single pdf file: motivational letter (max 1 page), CV (max 2 pages), and publication list. Please also include contact information of two persons willing to provide a reference letter by separate request.

Please submit your application using the University of Helsinki Recruitment System via the Apply for the position link. Applicants who are employees of the University of Helsinki are requested to leave their application via the SAP HR portal. The deadline for submitting the application is 17 June 2019.

For more information please contact Dr Giuseppe Balistreri, giuseppe.balistreri(at)helsinki.fi

Technical support for using the recruitment system: rekrytointi(at)helsinki.fi.

Due date

17.06.2019 23:59 EEST

Read the job description at the university homepage

Apply for position

Post expires on Monday June 17th, 2019

Postdoc­toral re­searcher in ma­chine learn­ing and com­pu­ta­tional bio­logy

The Institute for Molecular Medicine Finland (FIMM) is an international research unit focusing on human genomics and personalised medicine at the Helsinki Institute of Life Science (HiLIFE) of the University of Helsinki – a leading Nordic university with a strong commitment to life science research. As part of Academic Medical Center Helsinki in Meilahti campus FIMM collaborates locally with the Faculty of Medicine, Helsinki University Hospital and National Institute for Health and Welfare. FIMM is part of the Nordic EMBL Partnership for Molecular Medicine, composed of the European Molecular Biology Laboratory (EMBL) and the centres for molecular medicine in Norway, Sweden and Denmark, and the EU-LIFE Community.

FIMM is currently seeking a

Postdoctoral researcher in machine learning and computational biology

A Postdoctoral Fellow position is available in the research group of FIMM-EMBL Group Leader Dr. Esa Pitkänen at the Institute of Molecular Medicine Finland (FIMM), University of Helsinki. The research group will start at FIMM in July 2019, and will address data integration, analysis and interpretation challenges stemming from massive-scale data generated in clinical and research settings. We will work closely with interdisciplinary collaborators at University of Helsinki, Helsinki University Hospital, EMBL and German Cancer Research Center. Specific application areas include hematological diseases, and diseases where somatic mutagenesis has a central role, such as cancer. The Fellow will work on projects such as multimodal joint learning from clinical sequencing and imaging data utilizing techniques of deep learning, aiming to create methods useful in clinical practice.

Selected publications:
Katainen, …, Pitkänen. Discovery of potential causative mutations in human coding and noncoding genome with the interactive software BasePlayer. Nature Protocols (2018)
Palin, Pitkänen et al. Contribution of allelic imbalance to colorectal cancer. Nature Communications (2018)
Waszak et al. Germline determinants of the somatic mutation landscape in 2,642 cancer genomes. bioRxiv (2017)
Kondelin, …, Pitkänen. Comprehensive evaluation of protein coding mononucleotide microsatellites in microsatellite-unstable colorectal cancer. Cancer Research (2017)
Katainen, Dave, Pitkänen, Palin et al. CTCF/cohesin-binding sites are frequently mutated in cancer. Nature Genetics (2015)

Qualifications:
A recent PhD degree (or close to completion) in bioinformatics, computational biology, computer science, statistics or mathematics, or a related field
Proficiency in machine learning, programming and statistical analysis
Working knowledge of molecular biology and genetics
Excellent oral and written communication skills in English
Ability to work as a part of an interdisciplinary team
Knowledge of TensorFlow or PyTorch is a plus

The salary will be commensurate with qualifications based on the Finnish university salary (YPJ) system on previous qualifications, experience and performance in the position. The contract will be offered for two years, and may be extended. A six-month trial period will be applied.

To apply, please submit the application together with your CV, a list of publications, two letters of reference, and a cover letter highlighting previous scientific accomplishments through the University of Helsinki electronic recruitment system by clicking on Apply for job. Internal applicants (i.e., current employees of the University of Helsinki) please submit your applications through the SAP HR portal.

Applications are welcomed as soon as possible – the call will be open until a hiring decision is made and can therefore be terminated even before the end of June. The earliest start date is in July 2019.

For further information please visit our website at http://www.fimm.fi or contact esa.pitkanen@helsinki.fi.

For technical support with the recruitment system, please contact rekrytointi@helsinki.fi.

Due date

30.06.2019 23:59 EEST

Apply for the position

Read the job description at the university homepage

Post expires on Sunday June 30th, 2019

PhD stu­dent in ma­chine learn­ing and com­pu­ta­tional bio­logy

The Institute for Molecular Medicine Finland (FIMM) is an international research unit focusing on human genomics and personalised medicine at the Helsinki Institute of Life Science (HiLIFE) of the University of Helsinki – a leading Nordic university with a strong commitment to life science research. As part of Academic Medical Center Helsinki in Meilahti campus FIMM collaborates locally with the Faculty of Medicine, Helsinki University Hospital and National Institute for Health and Welfare. FIMM is part of the Nordic EMBL Partnership for Molecular Medicine, composed of the European Molecular Biology Laboratory (EMBL) and the centres for molecular medicine in Norway, Sweden and Denmark, and the EU-LIFE Community.

FIMM is currently seeking a

PhD student in machine learning and computational biology

A PhD student position is available in the research group of FIMM-EMBL Group Leader Dr. Esa Pitkänen at the Institute of Molecular Medicine Finland (FIMM), University of Helsinki. The research group will start at FIMM in July 2019, and will address data integration, analysis and interpretation challenges stemming from massive-scale data generated in clinical and research settings. We will work closely with interdisciplinary collaborators at University of Helsinki, Helsinki University Hospital, EMBL and German Cancer Research Center. Specific application areas include hematological diseases, and diseases where somatic mutagenesis has a central role, such as cancer. The PhD student will work on projects such as multimodal joint learning from clinical sequencing and imaging data utilizing techniques of deep learning, aiming to create methods useful in clinical practice.

Selected publications:
Katainen, …, Pitkänen. Discovery of potential causative mutations in human coding and noncoding genome with the interactive software BasePlayer. Nature Protocols (2018)
Palin, Pitkänen et al. Contribution of allelic imbalance to colorectal cancer. Nature Communications (2018)
Waszak et al. Germline determinants of the somatic mutation landscape in 2,642 cancer genomes. bioRxiv (2017)
Kondelin, …, Pitkänen. Comprehensive evaluation of protein coding mononucleotide microsatellites in microsatellite-unstable colorectal cancer. Cancer Research (2017)
Katainen, Dave, Pitkänen, Palin et al. CTCF/cohesin-binding sites are frequently mutated in cancer. Nature Genetics (2015)

Qualifications:
A recent MSc degree (or close to completion) in bioinformatics, computational biology, computer science, statistics or mathematics, or a related field
Proficiency in programming
Excellent oral and written communication skills in English
Ability to work as a part of an interdisciplinary team

The salary will be commensurate with qualifications based on the Finnish university salary (YPJ) system on previous qualifications, experience and performance in the position. The contract will be offered initially for two years. A six-month trial period will be applied.

To apply, please submit the application together with your CV, two letters of reference, and a cover letter through the University of Helsinki electronic recruitment system by clicking on Apply for job. Internal applicants (i.e., current employees of the University of Helsinki) please submit your applications through the SAP HR portal.

Applications are welcomed as soon as possible – the call will be open until a hiring decision is made and and can therefore be terminated even before the end of June. The earliest start date is in July 2019.

For further information please visit our website at http://www.fimm.fi or contact esa.pitkanen@helsinki.fi.

For technical support with the recruitment system, please contact rekrytointi@helsinki.fi.

Due date

30.06.2019 23:59 EEST

Read the job description at the university homepage

Apply for the position

Post expires on Sunday June 30th, 2019

Postdoc­toral Re­searcher/​Doc­toral Stu­dent in Sustainable Food Sys­tems

The University of Helsinki is the oldest and largest institution of academic education in Finland, an international scientific community of 40,000 students and researchers. In the international university rankings, the University of Helsinki typically ranks among the top 100. The University of Helsinki seeks solutions for global challenges and creates new ways of thinking for the best of the humanity. Through the power of science, the University has contributed to society, education and welfare since 1640.

The Future Sustainable Food Systems research group, led by Associate Professor Hanna Tuomisto, is affiliated with the Faculty of Agriculture and Forestry and the Helsinki Institute of Sustainability Science (HELSUS). The recently established growing group is interested in researching potential of novel technologies such as cellular agriculture that utilises cell-culturing technologies for food production. The Future Sustainable Food Systems research group is seeking for

POSTDOCTORAL RESEARCHER/DOCTORAL STUDENT in Sustainable Food Systems

for a temporary 2-3 year contract (depending on the level of the position and starting date) to work in a project called ”Assessing the potential of novel food production technologies to improve the environmental sustainability of food systems”. The project explores the potential of novel technologies, such as vertical farming and cellular agriculture (i.e. use of cell-culturing technologies for food production), to contribute to the improvement of the sustainability of global food systems. The project will develop new sustainability assessment methods and approaches that consider the wider consequential impacts such as the changes in land use, energy generation and composition of diets that are generally ignored by the commonly used environmental assessment methods.

The postdoctoral researcher/doctoral student will contribute to the development of novel frameworks, approaches and methods for consequential sustainability assessment of food systems and use these methods for assessing the impacts of introducing novel food production technologies in different geographic areas. The appointed researcher will work in collaboration with the other members of the Future Sustainable Food Systems research group and will be supervised by the team leader Assoc. prof. Hanna Tuomisto.

The candidate is expected to have:

• a degree (a master degree for the doctoral student position, and a doctoral degree for the postdoctoral researcher position) in environmental sciences, engineering, agricultural sciences, environmental economics, or other relevant field
• ability to work independently and as a part of a team
• strong quantitative skills and understanding of environmental impacts
• knowledge of sustainability assessment methods (e.g. life cycle assessment) is seen as a benefit.

A person appointed as a doctoral student is required to apply for the right for doctoral studies from the University of Helsinki within six months after starting the post.

The salary of a postdoctoral researcher will be based on levels 5 and doctoral student on levels 2 – 4 of the job requirement scheme for teaching and research staff in the salary system of Finnish universities. For a postdoc the starting salary will be 3 200 euros/month and for the doctoral student the starting salary will be 2200 – 2400 euros/month, depending on the appointee’s qualifications and experience. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The International Staff Services office (https://www.helsinki.fi/en/university/working-at-the-university) assists employees from abroad with their transition to work and life in Finland. A six-month trial period will be applied.

The attachment required for the application include (preferable in a single pdf-file):

1) A cover letter explaining the applicant’s motivation for the research work and a short research plan (e.g. approach, research materials and methods) (up to 3 pages)
2) Curriculum vitae showing the applicant’s education, completed qualifications, work experience, possible list of publications and contact information of 2 persons for references (up to 3 pages)
3) Copies of Master’s and Bachelor’s degree certificates and official transcripts of the records, and their translations, if the originals are not in Finnish, Swedish or English
4) A proof of proficiency in Finnish, Swedish or English, if the applicant is not a native speaker or educated in any of them.

Please submit your application through the University of Helsinki Recruitment System via the link Apply for the position. Applicants who are employees of the University of Helsinki are requested to submit their application via the SAP HR portal, saphr.it.helsinki.fi.

The closing date for applications is 3 March 2019 at 23:59.

Further information about the position may be obtained from Associate Professor Hanna Tuomisto hanna.tuomisto(at)helsinki.fi.

Due date

03.03.2019 23:59 EET

Apply for the position

Read the job description at the university homepage

Post expires on Sunday March 3rd, 2019