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University of Amsterdam | Amsterdam Noord west, Provincie Noord-Holland | Netherlands | about 20 hours ago
start date; - have a solid grounding in general relativity and/or gravitational wave astrophysics; - have experience in scientific programming (e.g., Python or C++); - can communicate clearly in
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. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated reasoning and robotics C/C++ programming and knowledge Python
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. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated reasoning and robotics C/C++ programming and knowledge Python
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areas. ● Strong computational/programming skills (Python/C/C++) including computational mechanics, and scientific machine learning. ● Excellent English communication skills (oral and written). We offer
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with multi-agent systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX ) · Strong analytical, problem
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information theory for AI systems. Proficiency in Python and experience with GPU cluster environments (e.g., SLURM ) are a plus. Special Instructions Please provide a CV, a Research Statement, and two or
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research capabilities and demonstrated proficiency in programming, specifically in Python and R, as well as experience with modern deep learning frameworks like PyTorch or TensorFlow. In addition to
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Intégration dans l'outil de scénario (C++) et validation Étude d'optimisation (si le temps le permet) et rédaction du rapport Moyens / Méthodes / Logiciels COSI, SEPAR, PYTHON, C++ Profil du candidat Étudiant(e
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data-science training workshops (e.g., R, Python, Linux, ML/AI pipelines) and contributes training modules to the project’s education and workforce-development activities. Co-mentors graduate research
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models of analog and RF circuits in Python Validate the developed models against circuit simulations and measurements Perform hardware-algorithm co-design for AI-driven 6G transmitters Publish and