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-throughput sequencing and advanced bioinformatics; (iii) Discovery, characterization and evaluation of indigenous bacterial biocontrol organisms capable of suppressing rice grain rot.The successful candidate
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actively on the preparation and defence of a PhD thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks
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of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously acquired knowledges
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thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks, environments, or objectives while retaining
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thesis in the field of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously
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of multiple Ph.D. candidates, post-docs, senior research scientists and professors, all contributing with their respective expertise. Your profile Required: M.Sc. in Physics is ideal but also M.Sc. in Materials
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sequencing data generation and interpretation Bioinformatics and statistical analysis, to characterize genome evolution, mutation processes, and adaptation patterns The PhD candidate will progressively
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jointly affiliated with the Department of Clinical Biology/Microbiology Diseases at UZ Brussel, Bioinformatics group at the VUB and the sequencing platform BRIGHTcore. More concretely your work package, for
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) in your CV. Highlight any prior academic accomplishments.• A transcript of your grades and prior qualifications. Candidates who meet the basic eligibility criteria and demonstrate a good alignment with
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align with the key research themes of the Mechanics of Advanced Materials and Structures (M²S) research group, including advanced characterisation and monitoring of materials and structures, mechanics