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Field
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achievements extensive experience in basic experimental research, ideally including expertise in animal models International visibility demonstrated by high-quality scientific publications a proven track record
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robotic automation solutions. The focus of this project is to develop a sim-to-real pipeline for training robotic hands for in-hand manipulation of objects. Key parts of this project will include fine
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“Systems Neuroscience” We are seeking an outstanding, internationally recognized scientist with an excellent track record in the field of modern neuroscience. Candidates should possess a distinctive research
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excellent degrees and scientific track records in the following research areas: Higgs physics Dark Matter and Axions Gravitational Waves Quantum Gravity Structures, Methods, Advanced Research Technologies
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Biomedicine or (ii) AI Foundations We are looking for two outstanding researchers with a strong track record of advancing the state of the art in machine learning and potentially its application to biology and
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outstanding researchers with a strong track record of advancing the state of the art in machine learning and potentially its application to biology and biomedicine, with the ambition to build an internationally
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. Combined with previous works in dynamic object detection and removal, an automated pipeline for creating such maps will be developed, which we expect to be of great benefit to real-time localization in
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on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be to augment classical spike train analysis methods particularly those developed by Prof. Grün and
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directions, and already produce a 3D material rendering of arbitrary objects. Tasks range from using the systems to acquire optical material behavior and generate renderings, over extension and optimization
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industrial objects. Different acquisition devices are used depending on the object’s properties and quality requirements. We are working on a cloud platform with a 3D viewer to make the results of our