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on the development and applications of quantum machine learning algorithms, more specifically the optimization of variational quantum circuits, but also other topics can be explored depending on your interests. You
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R, algorithms and systems designed to extract insights from large datasets. Experience with integrating and analyzing diverse data sources, such as biodiversity (e.g., the IUCN Red List of Species and
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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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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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, microbiology and/or virology, biochemistry, genetics, or biotechnology, or provide equivalent skills and knowledge. Prior experience in microbial characterization, translation studies, RNA-seq, and/or applicable
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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