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We are looking for a highly motivated and talented machine vision / mechanical engineer to join our team at the VIB-UGent Center for Plant Systems Biology. The selected candidate will join the
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technologies, single-cell platforms, and high-performance computing (Inter)national network: collaborate locally, with international consortia, and leading cancer centres (UCL, Francis Crick Institute, MD
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work with a team of scientists interested in (1) mechanisms of neurodegeneration, (2) cellular determinants of disease, (3) functional genomics, (3) the development of translational strategies in circuit
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interactions that underlie disease causation. Your job You will work with a team of scientists interested in (1) mechanisms of neurodegeneration, (2) cellular determinants of disease, (3) functional genomics, (3
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. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell, regulatory, or multimodal biological data. Support target and mechanism prioritization by integrating
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‑on experience with common machine learning / deep learning frameworks (eg. PyTorch or JAX) applied to biological or structural data. Solid Python programming skills, with experience building maintainable and
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, regulatory, or multimodal biological data. Support target and mechanism prioritization by integrating model predictions with biological knowledge and external data sources. Work closely with academic partner
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frameworks (eg. PyTorch or JAX) applied to biological or structural data. Solid Python programming skills, with experience building maintainable and portable code for scientific workflows with Nextflow
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mechanisms that can serve as future targets for early detection, prevention, and treatment. Our lab is at the forefront of Alzheimer’s genetics research, and has a strong international network to enhance gene
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for Inflammation Research (IRC) investigates the molecular and cellular mechanisms of inflammation, including inter- and intracellular signaling, immune cell biology, barrier tissue function, and the transition from