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Field
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science, economics) Background knowledge in quantitative or quantitative social science methods (focus can be in one or both areas) Experience with R or Python, natural language processing / textual data
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) methods. Experience in handling remote sensing data is a plus Very good programming skills (Python) Very good communication skills (oral and written) in English Ability to work in a highly interdisciplinary
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strong background in Applied Statistics) Knowledge of R, Python or Stata (and willingness to work with R) Experience in quantitative text analysis Very good command of English and German A substantive
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master’s degree in Computer Science, Geodesy, or related discipline Very good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies
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good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies Experience with remote sensing data is a plus Experience with industry
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relevance ▪ Software: experience working with MATLAB, C++, Python or similar ▪ Goal-oriented, independent and structured work style Our offer ▪ Current research topic in a challenging international working
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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skills in Python and PyTorch including fundamental software engineering principles and machine learning design patterns. Be highly motivated and a team player with excellent communication and presentation
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hardware, Hands on experience with the design and development of physical robotics systems (experience in surgical robotics systems is a major plus), Experience with MATLAB Simulink, C++/Python and ROS
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deep learning practical experience with software development in Python and common deep learning frameworks and libraries, experience in handling large-scale data stocks, ideally geodata, analytical