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This project aims to identify the spatial genetic and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data
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-kandiohjelma ; https://www.helsinki.fi/en/degree-programmes/genetics-and-molecular-biosciences-masters-programme/studying ; https://www.helsinki.fi/en/degree-programmes/neuroscience-masters-programme ). An
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employment: FIMM, University of Helsinki, Finland Collaborating site: DANDRITE, Aarhus University, Denmark Find all information and applyhere . Project 2: Genetic and adaptive dynamics of microbiome in
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patient samples for the University of Helsinki’s iCAN flagship project. FIMM also hosts the Academy of Finland’s Center of Excellence in Complex Disease Genetics , a collaborative program of computational
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on metabolic mechanisms of aging-related degeneration. The profile of the other position focuses on integrating human genetics and AI for population health. For example, in this position the candidate may work
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on integrating human genetics and AI for population health. For example, in this position the candidate may work on foundation models that combine molecular data and electronic health records. Working as part of
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biochemistry, genetics, structural biology, cell and developmental biology, virology, microbiology, and neuroscience and physiology. How to apply Candidates are required to submit their applications via
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research, such as molecular biology, microbiology and/or virology, biochemistry, genetics, or biotechnology, or provide equivalent skills and knowledge. Prior experience in microbial characterization
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The successful candidate should have: Doctoral degree in a relevant field (e.g. bioinformatics, genetics, computer science or molecular biology) Proven programming skills (preferably Python, other languages also
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relevant field (e.g. bioinformatics, genetics, molecular biology) Proven programming skills (preferably Python, other languages also appreciated) A strong background in biology Strong interest in molecular