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sequencing data Familiarity with high-performance computing environments Track record of publications in peer-reviewed journals What we offer Cutting-edge infrastructure: state-of-the-art sequencing
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sequencing data Familiarity with high-performance computing environments Track record of publications in peer-reviewed journals What we offer Cutting-edge infrastructure: state-of-the-art sequencing
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like TensorFlow, Keras, or PyTorch. Preferred Skills: Experience with Explainable AI (e.g., SHAP, Integrated Gradients). Familiarity with high-performance computing (HPC) and software containers
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and Building Materials in close collaboration with the Department of Organic and Macromolecular Chemistry at Ghent University. In addition, part of the experimental program will be performed in
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considering an academic career You have demonstrable experience with, and can independently perform measurements on, high-resolution NMR equipment in the context of biomolecular research You can demonstrate
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(UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 15 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025
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benchmark performance against state of the art solutions and project KPIs Disseminate results through high impact journal and conference publications, demonstrations, and (where appropriate) patent filings
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postdoctoral contract, 12 months (with possibility of extension depending on performance and project structure). - Access to state-of-the-art experimental facilities at VKI and high-performance computing
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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21 Nov 2025 Job Information Organisation/Company Ghent University Research Field Biological sciences » Biology Biological sciences » Other Computer science » Other Researcher Profile Recognised