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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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bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL
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in at least one major programming language, such as Python, is expected Familiarity with deep learning frameworks and modern NLP toolkits is an advantage Motivation to publish research results in
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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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learning - deep neural network, recurrent neural network, LSTM Optimization theory Stochastic geometry Strong programming skills in at least one of the following: MATLAB, Python, JULIA or C++ Language
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
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and their development Strong analytical, problem solver, and programming skills, e.g. Python, Matlab, are preferred Knowledge in Non-Terrestrial Networks and Semantic Communications is a plus Prior
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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