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on high-performance computing (HPC) systems. Closely Collaborate with Clinicians and Wet-Lab Scientists on the experimental design and collect data for computational modelling and analysis. Engage Actively
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, including excellent skills in programming and high-performance computing Research experience in a relevant field, e.g. functional genomics, transcriptomics, bioinformatics, bioimage analysis, and/or single
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the candidate can start in autumn 2025. Background Our group develops and applies systems pharmacology strategies to design rational combinatorial therapies for cancer. We combine both computational (dry-lab) and
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research, such as microbiology or virology, molecular or cell biology, or biochemistry Has a high level of written and spoken English and strong communication, social, organisational and time management
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training in the second area are encouraged to highlight this in their application. Experience with high performance computing and GPU acceleration tools (e.g. CUDA) and deep learning frameworks, such as
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the organoid experiments and bioinformatics are performed in University of Helsinki, while the animal experimentation is performed in University of Oxford. The project utilizes a number of sequencing techniques
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programming (such as Python, R, Bash) The candidate is required to have documented research experience with large-scale omics data analysis Experience with high performance computing is a strong advantage
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. There will be a six-month trial period for the position. The appointee will be responsible for teaching in Russian as the first language in the Bachelor’s Programme in Languages. They will also give courses in
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access to high-quality supercomputing infrastructure provided by the Center for Scientific Computing, Finland (including the Lumi supercomputer). Finland is a member of EU, has high quality free schooling
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from buildings, mobile network data) Database management skills (e.g., PostgreSQL) Statistical expertise related to big data processing and high-performance computing (Python, R) GIS software proficiency