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main focus on our Computer-Aided Drug Discovery (CADD) platform. The successful candidate will work with a highly multidisciplinary team at VIB DS in close collaboration with a team of IT experts at VIB
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RNA-Seq, ChIP/DAP-Seq protein-DNA interaction data, bulk, and single-cell ATAC-Seq) and the application of diverse supervised machine learning approaches (e.g., feature-based, deep learning, and
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, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Desirable but not required Preference will be given to candidates with
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systems biology Background in AI (deep learning, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Desirable but not
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bioinformatics Experience with applying AI (deep learning, probabilistic modelling, generative AI) or machine learning in the field of systems biology Proficient in Python or R programming Strong communication
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are sufficient) Basic computer skills (text processing, spreadsheet, presentations) Enthusiastic team player Desirable but not required Experience in culturing stem cells Experience with cell transfection
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excellent academic performance, especially in relevant subjects, such as mathematics, statistics, machine learning and bioinformatics. You have strong programming skills in Python (R is a plus) You have
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-of-the-art molecular biology techniques, multimodal data generation and integration, gene regulatory network reconstruction and wide range of machine learning approaches The host labs will provide financial
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an environment that changes fast and is eagerly willing to learn new skills. One part of the work relates to cell biology, including classical cell culture, cell transfections and selection, but may
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modeling, generative AI) Proficient in Python programming Experience with machine learning is a plus (e.g., PyTorch/Tensorflow/Keras) Experience with explainable AI (e.g., SHAP) is a plus Experience with