34 Computer-Science-"https:"-"Data-driven-Materials-Modeling" "https:" positions at VIB
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in machine learning, computer science, computational biology, statistics, or a related field.Knowledge of modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).Experience developing AI
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investor supporting biotech startups in agriculture, food, and biomaterials. Backed by VIB, the leading and internationally recognized life sciences research institute based in Flanders, we help founders
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methods into the analysis of Structure-Activity Relationships (SAR) and program decision-making Act as a consultant expert in discovery chemistry – assay design, hit matter analysis, hit expansion
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investor supporting biotech startups in agriculture, food, and biomaterials. Backed by VIB, the leading and internationally recognized life sciences research institute based in Flanders, we help founders
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engineering, and computational biology, the bioinformatician will contribute to the implementation, automation, and scaling of NGS‑enabled analytics and AI‑driven nanobody–antigen structure prediction and
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engineering, and computational biology, the bioinformatician will contribute to the implementation, automation, and scaling of NGS‑enabled analytics and AI‑driven nanobody–antigen structure prediction and
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profile You have: a Master degree in engineering, computer science, mathematics or a related field a strong background in machine learning and AI (deep learning, LLMs, computer vision) strong proficiency in
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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in machine learning, computer science, computational biology, statistics, or a related field. Knowledge of modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Experience developing AI
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across