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actively on the preparation and defence of a PhD thesis in the field of explainable reinforcement learning (XRL). Explainable reinforcement learning aims to make decisions, policies, and learning processes
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emerged as an alternative to conventional ML models, promising a more efficient processing of temporal signals at the edge. This includes a wide range of signals, among which cortical activity for brain
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project research objectives and questions (e.g. public procurement law, administrative processes for decision-making, etc). Website for additional job details https://www.uhasselt.be/en/about-hasselt
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23 Jun 2026 Job Information Organisation/Company ULB Department Transfers, Interfaces & Processes (TIPs) (https://tips-ulb.be/) Research Field Engineering Technology Physics Researcher Profile First
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applicants: an excellent Master degree in Computer Science or related discipline strong programming skills the ability to do independent research a good background and interest in human-computer interaction
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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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the application deadline. As soon as a decision is made, we will notify you. If you are still eligible after the pre-selection, you will be informed about the possible next step(s) in the selection procedure
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the application deadline. As soon as a decision is made, we will notify you. If you are still eligible after the pre-selection, you will be informed about the possible next step(s) in the selection procedure
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/or image processing Experience in protein expression and purification Knowledge of kinase signaling and regulation Evidence of research excellence, such as publications, conference presentations
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[email protected] . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60697632?hl=en Requirements Research FieldJuridical sciencesEducation LevelMaster Degree or equivalent