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approaches and will integrate novel hardware (including electrode arrays, microdevices, analytical systems) into automated robotic pipelines You will also apply machine learning-based analyses to imaging and
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analytical models Physics-informed machine learning for deformation modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements Ph.D. in
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and reality gap bridging for deformable object interaction (e.g., MuJoCo, PyBullet, NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics-informed machine learning
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 3 months ago
of the ACR department. Your profile The ACR department is interested in many aspects of gravitational-wave astronomy, including analytical modeling of gravitational dynamics and radiation (effective field
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science, meteorology, or a related discipline Strong experimental skills; strong experience in analytical chemistry, mass spectrometry, and trace gas measurements using CIMS techniques Enthusiasm
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Possess a collaborative mindset and strong communication skills Exhibit analytical thinking and problem-solving skills Do you combine curiosity and interest in scientific problems and have a strong desire
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-high vacuum and cryogenic systems Strong analytical and problem-solving skills, creativity, and an independent, goal- and solution-oriented work attitude Previous experience with high frequency equipment
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research and knowledge transfer Independent, creative and committed way of working Ability to think conceptually and analytically Excellent English skills Ideally, good knowledge of German Our offer: We
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Advanced software development and data analytics skills Hands-on mentality with first practical experience in developing innovative technology Inquisitive and passionate about research and knowledge transfer
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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