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of high-current power converters. Designing circuits, prototyping and testing in the lab. Any candidate who: has a good grasp of various power circuit topologies for DC-DC converters; is familiar with power
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., linear algebra, statistics, optimization, and calculus) is expected, along with programming experience using deep learning frameworks in Python (e.g., PyTorch). While prior knowledge of machine learning
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) of mathematics, mathematical physics or theoretical physics. The successful candidate will have some background in mathematics, particularly topology and category theory, as well as some knowledge of
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. The methodology will be used to investigate different AWE topologies and control strategies in the context of stability, reliability, and loads. The position requires the candidate to help develop a medium fidelity
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efficiently and independently. For this position we favor candidates with a degree in physics or applied mathematics. You should: Have a solid grasp of microscopy, electromagnetism/optics and linear algebra Be
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efficiently and independently. For this position we favor candidates with a degree in physics or applied mathematics. You should: Have a solid grasp of microscopy, electromagnetism/optics and linear algebra Be
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mathematics, particularly topology and category theory, as well as some knowledge of quantum field theory and path integrals. The successful candidates will be expected to have: MSc degree in mathematics