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for We are seeking a motivated computational biologist with a passion for cancer genomics and a drive to tackle complex biological questions. Essential: PhD (or studying towards a PhD) in computational
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interaction studies.•Cell-based virus assays [multi-color flow cytometry, primary cell culture (is an advantage)].•Experience in animal experimentation (FELASA B/C or equivalent) and in the development
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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 to study
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disease modelling skills to join our team. About the project The ultimate goal of this project is to develop and apply advanced human iPSC-based models to study complex genetic architecture
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, biochemistry, and proteomics, as evidenced by a robust publication record. Proficiency in laboratory techniques related to live cell imaging, studying protein-protein interactions through mass spectrometry, and
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synthetic biology context (check our website at https://csb-bioport.mystrikingly.com/ and www.csb.ugent.be ). You will conduct research on aquaglyceroporin engineering and on the FWO-WEAVE project “Study and
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-based models to study complex genetic architecture of neurodegenerative disorders. The candidate will approach this by: 1) using advanced Brain-on-Chip models to understand how genetic risk affects the
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considered is that insights from such simulations can also support human-robot cooperative cell design to maximize task success, dexterity, and execution efficiency of various ReX activities on a variety of
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capable of conducting electrical currents over centimeter distances. Electric currents are channelled via highly conductive protein fibers embedded in the cell envelope. These fibers form a unique
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writing, and disseminate findings through high-impact publications. Profile PhD in neuroscience, immunology, stem cell biology, or related discipline. Proven expertise in Parkinson’s disease models and iPSC