54 engineering-computation "https:" "https:" "https:" "https:" "UCL" "Brunel University London" positions at VIB
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computational approaches and experimental biology is essential. We therefore aim to establish a dedicated Technology & Wet Lab Unit that will streamline the generation of high-quality training data and enable
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for the technology, including brainstorming and literature review. Coordinate with biopharma partners to streamline development and promote industry adoption. Participate in grant writing to secure project funding
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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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in close partnership with the five universities in Flanders. The ICT department at VIB ensures that assets, technology, information, and data are managed securely and efficiently. Our focus includes
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collaboration with the Flemish government and the BIOVIA cluster organisation, VIB is recruiting a Program Manager for a 2 year fixed term appointment. ⃰ More info on the program can be found here (in Dutch
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collaboration with the Flemish government and the BIOVIA cluster organisation, VIB is recruiting a Program Manager for a 2 year fixed term appointment. ⃰ More info on the program can be found here (in Dutch
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant phenotyping (assessing e.g
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work includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: A PhD in structural biology, cell biology, biophysics, bioengineering, or a related
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science, computational biology, statistics, or a related field. Strong experience with large language models, including pretraining, fine-tuning, prompt engineering, and evaluation. Knowledge of modern deep learning