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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
, schooling and daycare. The successful candidate will also be selected as Professor at KU Leuven. Start date:2027 How to apply Please apply online via the VIB application form (https://jobs.vib.be/apply/137554
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circuit d'extraction peu bruité. 2 Décodage efficace : les algorithmes LRPC classiques (décodage combinatoire, résolution de systèmes linéaires) peuvent offrir une complexité inférieure aux décodeurs
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skills, including generalized linear models, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and
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models and algorithms using circuit simulation and design tools. The work will include the analysis of results, preparation of technical documentation and scientific publications, and dissemination
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interview stages, as well as once employed, is a priority of the College: https://www.bowdoin.edu/accessibility/index.html . In addition, visa sponsorships for faculty hires are available. Bowdoin College
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development of explainable and interpretable classical and quantum deep learning algorithms - Design and development of hackathons and other collaborative methodologies to promote the control of artificial
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Our department is seeking to hire a software engineer with experience in
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(UD) invites applications for a Research Software Engineer (RSE) to join the NSF AI Institute for Human-AI Cooperation (HAIC). The HAIC Institute ( https://haicinstitute.org/) is a 5-year (2026-2031
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learning y deep learning para el análisis de datos de observación de la Tierra. Application of machine learning and deep learning algorithms for Earth Observation data analysis. 5. Manejo de plataformas
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation