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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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statistical topic modelling Experience with natural language processing Experience with statistical methods and machine learning Ability to extract and process large numbers of documents from the internet
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companies from all over the world, especially the USA, the UK, and Germany. Your Profile: - Ph.D. in chemistry, material science, engineering, physics, or a closely-related field - Knowledge in material
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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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. Information on data protection for job advertisements can be found here . If you have any technical questions, please contact Prof. Dr. Harald Sack. Questions regarding the application process should be