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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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the time of their application, a PhD degree in geology (including (bio)geochemistry, mineralogy/crystallography or experimental/isotope geochemistry/petrology), chemistry, physics or materials sciences. We
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Description VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is
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also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning, computational biology, or a closely related field Strong research track record
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assessment, programming and machine learning. If so, we encourage you to apply! You will develop exposure and physical vulnerability maps for past and future (1970-2100) and integrate these into a flood risk
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-$60,000 Type of Position Student Position Time Status Full-Time Required Education PhD Required Related Experience N/A Required License/Registration/Certification N/A Physical Requirements Check all
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that integrate multi-omics data to uncover mechanisms of disease, cellular resilience, and therapeutic response. The post holder will lead research applying large-scale machine learning and foundation models
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dissertation chair confirming you will complete it before Sep 1st , 2026. Please upload verification as an additional document in the document upload section. 2. Earned PhD or equivalent in statistics
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/PhD in a relevant field (e.g. bioengineering, molecular biology, physiology, cell biology). A background in ocular perfusion techniques and an enthusiasm to learn across other disciplines in order to
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the research group, including on climate goals and advisory services in the dairy sector. Teaching students may be included in the work tasks, up to a maximum of 20% of the position. Your profile A PhD in