The announced postdoctoral positions are located at the Division of Applied Mathematics and Mathematical Statistics, with several research groups in the area of biomathematics/systems biology. Gothenburg offers vibrant systems biology environment with many excellent research groups actively collaborating and organizing a number of life science seminars, systems biology summer schools and workshops.
The postdoctoral fellows are supervised by Associate Professor Marija Cvijovic and funded by a prestigious grant from the Swedish Foundation for Strategic Research.
The research project is performed in an international and highly collaborative multidisciplinary environment. We study the complexity of cellular ageing using experimental and computational methods. The work is highly interdisciplinary with close collaboration with a number experimental research groups in other areas.
For more information, please visit www.cvijoviclab.org/
Metabolism is the final fingerprint of functionality and has been implicated in multiple theories of aging. Despite numbers of studies, much remains to be understood about how metabolites change during the course of ageing. The successful candidates will contribute to our efforts to integrate and interrogate high-throughput data of aging cells on single and population level to understand age-related changes in metabolism and to map metabolic alterations during ageing to age-related syndromes and diseases. The candidate is expected to independently develop new ideas and drive collaborations.
The candidates will be involved in supervision of bachelor and master projects and, to some extent, PhD students.
The candidates should have demonstrated the ability to work independently and creatively, have excellent communication skills and be able to articulate clearly the scientific and technical needs, set clear goals and work within an interdisciplinary setting. Strong scientific communication skills are a prerequisite, as well as excellent English and interpersonal skills.
The successful candidates should have a PhD degree in Computational Biology, Bioinformatics, Biostatistics, Biophysics, Computer Science or a degree in biological science with demonstrated experience in computational and statistical development.
The candidates should have good knowledge of one or more programming languages such as Perl/Python/Java/C/C++ and skills in R or Matlab/Mathematica. Experience with high-throughput data (metabolomics, gene expression microarrays and/or sequencing) and pathway analyses would be a distinct advantage.
For more details and application: www.cvijoviclab.org/opportunities/
Application deadline April 8, 2018