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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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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
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decision is made. Strong experience in deep generative models (e.g., diffusion models, VAEs, transformers) Programming proficiency in Python and PyTorch Interest in multimodal human communication and virtual
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working with large data sets. Strong programming skills (e.g. Python, PyTorch) Ability to work both independently and collaboratively in a multidisciplinary team. Preferred qualifications A doctoral degree
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ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar). Demonstrated ability to conduct independent research
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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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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