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. Programming skills in Python, with experience in deep learning frameworks such as TensorFlow or PyTorch. Experience with computer vision techniques, image processing, and neural networks. Familiarity with
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achieve this, you must have prior knowledge in the following topic: Wind farm flow modelling Machine learning Python scientific programming Excellent communication skills, both in writing and oral
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., sputtering/e-beam deposition systems, Optical spectroscopy, SEM/EDX characterizations, etc. Knowledge of technical software and programming languages (CST, COMSOL, Matlab, Python, etc.) will be a plus. Strong
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from many different sources into data frames that can be analyzed with biostatistical applications in the statistical software R/Python. Performing data analysis in accordance with time-structures and
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experience with system modelling and system simulation Strong mathematics skills and practical knowledge in 3D modelling Programming skills (particularly in C/C++ and Python) Ability to work independently as
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skilled in data analysis with proven experience with programming, e.g. Python Be skilled in experimental work Previous experience with microscopy is an advantage but not required. You must have a two-year
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skilled in data analysis with proven experience with programming, e.g. Python Be skilled in experimental work Previous experience with microscopy is an advantage but not required. You must have a two-year
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and acoustic systems is advantageous. Proficiency in programming languages such as Python, MATLAB, or C++. You may obtain further professional information from Associate Professor, Jesper Liniger
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and statistics: Python, R, MATLAB Strong English communication skills; both written and orally Experience with any of the following is appreciated. mySQL, computational workflow managers, clustering
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experience in theoretical condensed matter physics, especially in ab initio simulations for materials (preferred). Be proficient in scientific programming (preferably Python) and comfortable working with