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Python with demonstrable familiarity with PyTorch, experience in working on shared codebases, excellent applied math skills (especially probability theory, matrix algebra, calculus). Beyond technical
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and mathematical tools in quantum physics, quantum information theory, and related fields. It is a strong asset if you have already acquired expertise and demonstrated your ability to perform rigorous
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- skills – experience: analytical skills, ability to demonstrate good knowledge in system modelling – simulation, (classical or modern) control theories or control applications with evidence Desirable
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Immunoprecipitation Mass spectrometry of Endogenous complexes). We have identified about 50 proteins that can associate with Ascl1 or other NEPC transcription factors, some of which are enzymes that could in theory be
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-assisted design) and state-of-the-art experimental techniques (neutron scattering, data analysis, sample fabrication). The successful candidate will engage in cutting-edge research at the interface of theory
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about the ones you don’t check! Familiarity with the theory of electromagnetic fields and waves. Experience with programming in C++ and / or Python. Some exposure to parallel computing, e.g., OpenMP, MPI
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systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis skills Computational neuroscience background Behavioral data analysis skills Strong
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leverage advanced bespoke continuum robotic systems to demonstrate the feasibility of applying the proposed coatings can be deployed in-situ. Ultimately, this work bridges the gap between the theory
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Modulo Theories) solver. The work aims to demonstrate methodology through the application of the prototype to a real-world industrial system (provided by our industrial partner - Evolution Measurement
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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve