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or Python. Experience of and interest in collaboration with international partner organisations and professional representation at national and international events. Interest in method development and
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pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings. Coordinate the collaboration between the chronobiology lab (led by Dr. Paul Petrus) and the
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and interest in modelling and optimisation of systems with both commercial and bespoke tools. Good programming skills, for example in Matlab, C++, Fortran or Python. Experience of and interest in
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disciplines, including biomathematics, biostatistics, and molecular biology. The candidate is expected to have a solid grounding in programming in R, Python, and mathematics/statistics.The main duties involved
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Python and Matlab (at minimum). Be fluent in English, both spoken and written. *The date on your doctoral degree certificate is considered the official date of completion. Exceptions to the three-year
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Demonstrated knowledge working with proteins in the last three years Meritorious: Good knowledge of glycobiology Good knowledge of Python Employment The position is fixed-term for 2 years on a full-time basis
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proficiency in English. Demonstrated knowledge in mammalian cell culture in the last three years Meritorious: Good knowledge of glycobiology Good knowledge of Python Employment The position is fixed-term for 2
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programming in R, Python, and mathematics/statistics. The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours
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learning, AI, or statistical modeling. Proven ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar
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integration of heterogeneous data sources. Experience with signal processing and statistical modeling of high-dimensional data. Strong programming skills in Python and relevant ML frameworks (PyTorch