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for admission to a PhD programme. Strong background in Computational Mechanics, Solid Mechanics and Numerical Methods. Knowledge of the Finite Element Method. Programming skills (Python & Fortran). Good written
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power systems, energy conversion, modelling, simulation and programming tools (e.g. MATLAB, Simulink, Python), or related research areas will be considered an advantage. Strong analytical skills, a
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programming using Python, C/C++, ROOT or equivalent tools. • Experience in Linux environments and scientific computing. • Experience in the development and operation of complex experimental or technological
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, renewable energy integration, or distributed energy systems. Spoken and writing capabilities in Spanish, Catalan and English. Preferred: Working knowledge of Python or other similar languages. Used to with
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in experiments and modeling transport processes of complex flows of normal/complex fluids, ideally in porous media; scientific programming (Python, Matlab, etc). LanguagesENGLISHLevelExcellent Internal
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/ ) Principal Investigator (PI) of the project Imanol Torre Thesis co-director Antonio D. Masegosa Arredondo Requirements Specific Requirements Qualifications required Programming skills in Matlab and/or Python
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Python programming. ● Experience in monitoring code performance. ● 3 or more years of demonstrable experience in machine learning theory. ● Excellent communication and teamwork skills. ● Proficiency in
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simulators. CUDA. C++. Python. Other requirements to consider: Motivation and organizational skills. Analytical capacity and rigor. Multidisciplinary fit into an international research group. Specific
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management, critical and analytical thinking, precision, and focus. Desirable: Expertise in respiratory, audio or sleep signal analysis and modelling Knowledge of Matlab, Python, and/or R and tools and
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Knowledge and Professional Experience: Experience in energy harvesting Experience with COMSOL simulations Experience in programming (LabView, Python, C++, Matlab) Personal Competences Teamwork skills Fluent