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multisensor fusion and ondevice AI pipelines that guarantee tight latency, power efficiency, and fail-safe robustness. Driving hardware–software codesign to radically optimize state estimation and deep-learning
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application procedure (https://jobs.vib.be/apply/131332 ) and include a detailed CV, a reference letter, and a motivation letter. For further information and questions, please send an email to Yvan Saeys
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confinement. In addition, the candidate takes a leading role in further developing the SOLPS-ITER community code (formerly B2/Eirine), for which KU Leuven is a core developer. The candidate will be based in
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analog electronic accelerators. You’ll collaborate closely with a multidisciplinary team of machine learning experts, software developers, computer scientists, fabrication specialists, and experimentalists
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a profound knowledge of statistics, pure mathematics, and programming also qualify. The applicant should have excellent English communication and writing skills. We offer a fully funded, full‑time PhD
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duration → Term of assignment: → Wage scale: WM1 to WM4 (master degree or doctoral degree) → Required diploma: Master or PhD ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing
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and propose meaningful and testable hypotheses, grounded in disease biology. Perform end‑to‑end processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g
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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
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ICT Services & Applications. Your role This PhD position is supported by the Competence Hub in Research in Cybersecurity and Cyber Defence (Cyber Research Hub), an initiative of the Luxembourg
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Design Lab – works on modelling, control and optimization for mechatronic systems, industrial robots and processes (https://dynamics.ugent.be ). We are part of the department of Electromechanical, Systems