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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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simulation models Programming skills (e.g. Matlab or Python) Willingness to supervise young scientists Enthusiasm and enjoyment of working independently on developing fresh ideas and solutions Good
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neuronal differentiation (preferred)Experience with cellular phenotyping, including lysosomal and/or mitochondrial profiling (advantage)Programming skills in R and/or PythonFamiliarity with bioinformatic
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methods Excellent programming skills and familiarity with modern deep learning frameworks Strong interest in interdisciplinary research, and the ability to engage meaningfully with collaborators from
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knowledge. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will work on your
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envisages joint submission of an application for funding of the PhD fellowship under the Industrial Fellowship program of the Luxembourg National Research Fund. The research project has both aspects