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Field
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, chemistry, material science, chemical engineering, or related disciplines Knowledge of X-ray methods Experience in the field of energy storage Experience with programming languages (ideally Python) Fluent in
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soil characterization techniques. A strong command of English is indispensable. Skills in R, MATLAB or Python are helpful. The effective exchange within the interdisciplinary collaboration will be
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discipline Strong interest in automation of process steps (Python, LabView, or similar... Experience in one (or more) of the following areas is desirable: programming, automation, synthesis of inorganic
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diagnosis, and knowledge of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in
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production, agriculture broadly, and/or smart technologies is desirable. • Experience in modelling biological or agricultural systems, with strong programming skills (R, Python, or Matlab
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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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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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• 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