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. Expected outcomes include: development of novel algorithms that significantly improve predictive accuracy for equipment failure; creation of scalable monitoring systems that reduce operational costs
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algorithms to compute similarity between interaction interfaces across millions of comparisons. This hinders identification of novel modes of protein binding, i.e. those predicted by AlphaFold, and it hinders
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monitoring and health monitoring of the different machine components. To this end, multiple dedicated measurement campaigns have been performed throughout the Belgian offshore zone, resulting in a large in
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and in-house developed software to predict structures of interacting proteins and in collaboration with the Steinegger lab, developed highly efficient AI-based algorithms to compute similarity between
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Learning Centre; A complete educational program for PhD students; Multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses; 7 weeks
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model. Developing and coding the appropriate algorithms and methods that implement the novel concepts and model. Gathering experimental or observational data to test hypotheses or highlight the strength
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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understanding of KB development Working with specific Robotics applications in multiple domains Proficiency with various state-of-the-art Computer Vision models Project 2. - PhD Position in Sustainable AI
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treatment? Here is your chance to contribute to science that makes a difference! The Cresswell Group is recruiting a PhD student (f/m/d) interested in bioinformatics, cancer genomics and tumor evolution
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treatment? Here is your chance to contribute to science that makes a difference! The Cresswell Group is recruiting a PhD student (f/m/d) interested in bioinformatics, cancer genomics and tumor evolution