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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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Wolfram Mathematica (or similar languages) is also a plus. The ability to work in a fast-paced research environment, independently or in a team, meeting internal or external deadlines, and be self-motivated
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. Extensive experience in scientific computing involving programming, numerical analysis, symbolic and logical analysis, Monte Carlo simulations, and computer graphics. Experience in Matlab, Mathematica
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, numerical electromagnetics, scattering matrix theory, or simulating EM/RF structures in Ansys HFSS (or similar tools) is a plus. Experience or familiarity in writing your own codes in Wolfram Mathematica
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required (e.g., Python, Mathematica, Matlab). Some knowledge of nonequilibrium statistical mechanics (Boltzmann and Vlasov equations) and magnetism (spin dynamics, Landau-Lifshitz-Gilbert equation) is
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candidate has experience in coding numerical solutions to partial differential equations via the finite element method / finite differences schemes and programming skills in Mathematica, Matlab, Python
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motivation to learn new skills. Familiarity with a mathematical programming language (e.g., Matlab, Mathematica) is preferable but not essential. Independence and problem-solving skills. There is flexibility in
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symbolic computer algebra systems such as Mathematica is required You will need strong written and verbal communication skills in English *The date on your doctoral degree certificate is considered
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methods in High-Energy physics, in particular quantum field theory and particle physics is required. Familiarity with symbolic computer algebra systems such as Mathematica is required You will need strong
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symbolic computer algebra systems such as Mathematica is required You will need strong written and verbal communication skills in English *The date on your doctoral degree certificate is considered