19 display-device Postdoctoral positions at Technical University of Munich in Germany
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application form: https://wiki.tum.de/display/cpsforms/Ph.D.+Application . Fill out all mandatory fields (*) and kindly use “Safe Autonomous Ships” as the “Title of Position”. Please do not include a cover
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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qualifications. Contact International candidates are highly encouraged to apply. Please submit your complete application (in English or German) via our application form: https://wiki.tum.de/display/cpsforms/Ph.D
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, here , and here . About the project Neural devices used in the brain and spinal cord have yielded medical breakthroughs to improve the lives of people with spinal cord injury, Parkinson’s disease, and
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Engineering, Computer Engineering, Computer Science, or a closely related field Strong background in robotics fundamentals: kinematics, dynamics, control, planning Proficiency in programming (C++, Python), and
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, and image analysis tools and working on a computing cluster (HPC). Vivid Interest in interdisciplinary research, leading and working on projects with pathologists, medical experts, computer scientists
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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Li-based device. According to the World Health Organization, outdoor and household air pollution kill an estimated seven million people every year, accounting for one in eight deaths worldwide. Air
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chemical functionalities. The prospects of porphyrin-based 1D, 2D, and 3D materials for device development will be assessed in collaboration with research partners from industry and academia. A key concept
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22.03.2021, Wissenschaftliches Personal The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine