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techniques. The position as research assistant requires a master’s degree and the position as postdoc requires a PhD degree. In both cases an educational background within robotics, simulation, software
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interest in pursuing applied research in computer vision and deep learning with a focus on wind energy application. Proven experience with computer vision tool/software development using Python and/or Matlab
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strong background in scientific software development and computational modelling, with experience in physics, geophysics. materials science, computation, engineering, or a related discipline where they
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of complex systems. Good knowledge of modelling and the use of open-source as well as dedicated commercial FEM/FVM software packages. Excellent English proficiency in written and oral form. The ability and
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, especially PLD. Background in applied physics/materials science. Experience in Structural characterizations (XRD, RSM, RHEED, and TEM) Experience in programming or writing analysis software is advantageous
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Bioinformatics with at least one first-author publication, accepted or submitted Experience with machine learning will be a plus (e.g., Tensorflow/Keras/PyTorch). Experience with software containers and/or
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record of working with both GUI-based and code-based applications to optimize process simulations and environmental assessment software's (please highlight the specifics in the cover letter). A sound
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record in Computational Biology with at least one first-author publication, accepted or submitted Experience with machine learning will be a plus (e.g., Tensorflow/Keras/PyTorch). Experience with software