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Engineering or a related discipline. Experiences in Machine Learning, Deep Learning and Artificial Intelligence. Strong programming skills (Python) Good knowledge of AI frameworks like TensorFlow, PyTorch
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teaching activities and/or supervise Master's students Requirements: A Master's degree (or equivalent) in Computer Science, Statistics, Mathematics, or related fields Strong programming skills (Python, Java
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conducting work overseas (Africa or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab
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behavior planning, control) -Very good programming skills (e.g. Python) -A conscientious and independent way of working -High motivation and commitment -Negotiation skills in written and spoken German and
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, control) -Very good programming skills (e.g. Python) -A conscientious and independent way of working -High motivation and commitment -Negotiation skills in written and spoken German and English What we
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demonstrators. Depending on your focus, we require above-average knowledge in these areas. We expect you to be confident with the following tools and programming languages: Python, Tensorflow, Javascript, Git
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of statistical modeling and inverse problems is desirable Experience with programming languages, e.g., C++, MATLAB, Python, Julia, R Joy in dealing with challenging and interdisciplinary questions Sound knowledge
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outside-of-the-box. You will need strong coding skills (preferably Python, but also other software and hardware description languages) as well as experience with Machine Learning Frameworks (such as
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machine and deep learning Programming experience with Python and Pytorch Strong analytical and problem-solving skills Excellent communication & interdisciplinary skills Fluency in English (written and
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• Excellent programming skills with MATLAB and C++ (Python is optional) • Experience with CAD design (AutoCad, Inventor, Solidworks, NI Altium, Eagle) desired but not mandatory • Experience with optical