53 engineering-computation-"https:" "https:" "https:" "https:" "U.S" 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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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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for Cancer Biology: https://www.vibcancer.be VIB Center for AI and Computational Biology: https://vib.ai/ For questions: jonas.demeulemeester@kuleuven.be KU Leuven and VIB aim to be inclusive, respectful and
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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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Description We are seeking a motivated new PhD candidate or Postdoctoral fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
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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