51 evolution "https:" "https:" "https:" "https:" "https:" "University of St" positions at VIB
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model predictions with biological knowledge and external data sources. Work closely with academic partner groups and the Innovation & Business (I&B) team to align technical development with biological
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professional development programs. How to apply? Motivated candidates can apply via the online VIB application form (https://jobs.vib.be/apply/132753 ). The application (in English) should consist of: Cover
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package based on expertise and experience At SWITCH we have particular attention for the career development goals of our people and actively support the ambitions of our lab members in the lab and beyond
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learning, with access to VIB’s personal and professional development programs. How to apply? Motivated candidates can apply via the online VIB application form (https://jobs.vib.be/apply/132752
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Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines protein structural insight with hands‑on ML development: adapting and applying
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development. Competitive salary and benefits. Full‑time, indefinite contract with flexible working arrangements. How to apply Apply via the online application tool (https://jobs.vib.be/apply/132489 ). Include
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Chart tumour evolution using cutting-edge long-read and single-cell multiomics Who we are The Integrative Cancer Genomics lab (Jonas Demeulemeester) is embedded within the VIB – KU Leuven Center
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) the development of translational strategies in circuit neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement advanced brain-on-chip models and CRISPR
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diverse classes of inhibitory neurons are specified and integrated into brain circuits during development. Our work bridges developmental neurobiology, disease modeling, and systems neuroscience. To do
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; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved transcriptomics and