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, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch preferably
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, Computer Science, or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Electrical Engineering or Applied Mathematics. Alternatively, you have gained
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics
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of neural networks and other symbolic techniques with applications ranging from mathematics to cognitive science, and often in cross-disciplinary collaborations. In this project the PhD student will work
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least one of areas like animal communication research, probabilistic modeling, or language evolution is a strong requirement. As the position involves computational / mathematical modeling in the form
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This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites Research Groups at the Faculty of Engineering, which conduct cutting-edge research into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We...
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mathematics is essential. Prior experience with simulation tools or microstructural modelling is desirable. To apply, please contact the supervisor, Prof Andrey Jivkov - andrey.jivkov@manchester.ac.uk . Please
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structured and mathematical mind-set, and a self-motivated drive to excel in research. Prior experience with research in photonic crystals, band topology, or symmetry analysis is an advantage. Only candidates
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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an Athena SWAN Bronze Award, which recognises its work in promoting women’s careers in science, technology, engineering, mathematics (STEM) and medicine in higher education. Funding notes: Fully funded for 4