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/Qualifications Candidates must have a master's degree, preferably with a background in semiconductor physics. Basic knowledge of electronics and Python programming would be appreciated. Applicants must have a keen
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we are looking for has: -A good MSc degree or equivalent in applied mathematics or physics, or related area. -Strong numerate and programming skills (Python, C/C++) -Understanding of fluids flow in
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will use and develop Python scripts for analysing results and may participate in the development of codes such as the observation simulator and the improvement of the controller. The proposed thesis will
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dynamical systems. Programming skills (Python, MATLAB, or equivalent). Interest in quantitative modelling of biological systems. Ability to work with interdisciplinary data (omics and imaging). Desirable
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(knowledge of energy systems is a plus). The ideal candidate for the position has skills in electrical grid modelling (OpenDSS, Pandapower, MATPOWER, etc.), programming skills (Python, Julia, Matlab), as
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science, oceanography, physics, environmental science, or a related field • Strong skills in scientific programming (Python, Fortran, or similar) • Interest in Earth system modelling and climate science
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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modeling Programming skills in Python and machine learning packages such as PyTorch and TensorFlow Scientific curiosity and critical thinking Ability to work in interdisciplinary environments Motivation
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explore concepts form several topical fields such as: - Acoustics and interfacial fluid mechanics - Advanced wavefront control in complex environments - Experimental instrumentation (Python
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability