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have an interest in the use of AI in healthcare. Proven competence in programming methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David
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methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David Clifton (email: david.clifton@eng.ox.ac.uk). Only online applications received before
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, or industrial engineering. Proficiency in Python and simulation tools (e.g. AnyLogic, Arena) and optimization solvers (Gurobi, CPLEX). Solid background in decarbonization modeling, logistics, and techno-economic
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, energy systems, simulation, and/or transportation research. Technical skills: Python programming; simulation. Domain knowledge: Decarbonization modeling, life-cycle assessment, battery-electric vehicle
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in C++ or Python. Affinity with education and logistics. A proactive, independent working style. Eagerness to work on achieving societal impact. A Certificate of Good Conduct (VOG) will be required
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., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer
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and solids. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or
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and programming skills (Python preferred). Excellent written and verbal communication in English. Passion for exploring the frontiers of condensed matter physics. What We Offer · Pioneering
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and strong experience with the Python library JAX would be a plus. Experience writing and publishing academic papers. Please see job description for a full list of requirements. *Candidates who have not
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simulations and/or computational modeling in optics ¿ Experience in optical instrumentation development with user interface (GUI) programming in C#, Python, or LabVIEW ¿ Experience mentoring student researchers