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C++ or MATLAB are an advantage) Experience with Linux-based computing systems and computing clusters is desirable Interest in interdisciplinary research at the interface of physics, data science, and
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, MATLAB) is a strong plus but not strictly required. -A 4-year, fully funded PhD position supported by an ERC Starting Grant.-An initial 1-year contract, extended upon positive evaluation.-A stimulating
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cross-disciplinary center to conduct sponsored research which would influence the evolution of directed energy. CDE focuses on Research, Education, Innovation, and Collaboration. https://www.afit.edu/CDE
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software. Experience programming with MATLAB, C++, or Python. Experience in modeling electric motors and electromagnetics. Hands-on experience designing and fabricating electric motors. Strong knowledge
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foundation in fluid mechanics and heat transfer Experience with numerical methods (CFD or FVM) Programming skills (e.g. Python, MATLAB, C++, Fortran) Interest in machine learning and data-driven modeling
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or Matlab) is preferred. Applications, including a cover letter and a curriculum vitae indicating your interest and relevant training should be submitted electronically via Interfolio. Carnegie Mellon
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: Strong scientific programming skills (e.g., Python/Julia/MATLAB) and experience implementing modelling/optimisation workflows with high standards for reproducibility Research track record: Publications
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with emerging memory devices Experience with simulation tools (LTspice, Cadence, MATLAB, Python) Interest in brain-inspired computation, energy-efficient hardware, and experimental validation Ability
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with a substantial statistical component (e.g., mathematics, statistical genetics, bioinformatics). The applicants should ideally have some coding experience (e.g., in R, Stata, Matlab, C, etc), and also
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activities focused on the analysis and modeling of complex biological and health-related data. The successful candidate will demonstrate strong programming skills in Python, R, and/or MATLAB, with the ability