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Field
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/nanofabrication, power electronics, electronic packaging and integration.• Experience with numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc.• Strong interest in multidisciplinary
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. • Hands on experience in working with experimental setups (incl. including instrument control e.g. through MATLAB) • Background in the medical diagnostics technology field is a plus. • Business creation and
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, robust/distributed control, data-driven identification/control, numerical optimisation. Strong programming skills in at least two of the following: Julia, MATLAB, C/C++, Python. Demonstrated ability
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/nanofabrication, l’électronique de puissance, l’encapsulation et l’intégration électroniques. • Expérience avec les outils de simulation numérique et les outils de calculs : Ansys HFSS, Matlab etc. • Fort intérêt
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/nanofabrication, power electronics, electronic packaging and integration.• Experience with numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc.• Strong interest in multidisciplinary
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a strong background in one or more of the following areas: nonlinear (Lyapunov-based) analysis tools, software skills with Matlab or Python, and strong writing skills. Special Instructions
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MATLAB/Python/R etc Previous research experience with healthcare datasets or electronic health records English Language IELTS 6.5 Overall (with no individual component below 6.5) or Swansea University
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successful courses or projects) Be proficient in programming (preferably in Python ot Matlab). Ideally familiar with machine/deep learning, signal processing, dynamical system or mathematical modelling To find
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good analytical and communication skills. Programming skills (MATLAB, Python, or LabVIEW) are a plus. We strongly encourage applications from candidates of all backgrounds. Enthusiasm and potential
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, and skills in modelling & programming tools such as SINCAL, PowerFactory, OpenDSS, PSCAD, Python, Matlab, R, or Julia would be desirable. For full details about this role, please review the Position