113 evolution "https:" "https:" "https:" "https:" "Ulster University" research jobs in Belgium
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Science and Technology Country Belgium City Louvain-la-Neuve Postal Code 1348 Street Croix du Sud 4 Where to apply E-mail henri.batoko@uclouvain.be Contact City Louvain-la-Neuve Website https://uclouvain.be
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collaboration with ETH Zurich (Switzerland). Within this project, we are seeking a full-time postdoctoral researcher who will play a key role in the development, optimization, and fundamental understanding
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. The position is embedded in a broader research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence
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@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/post-doctoral-assistant-… Requirements Research FieldBiological sciencesYears of Research Experience4 - 10 Research
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measurement tool; and 3) developing training in legal creativity aimed at stimulating legal-creative skills. You will be embedded in the Business and Law research group and the research on talent development
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home after an induction period. Opportunities for personal development (training). YOUR TASKS You will work closely with internal teams, project partners, and stakeholders, managing the VLIZ commitments
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, neurodegenerative diseases) Integration of mechanical data with imaging-based and molecular readouts Development of new experimental or analytical pipelines for multiscale mechanical analysis The project is
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simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical
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the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/researcher-ai-data-scien
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. Responsibilities Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM and the tumor