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physics simulation, rendering, and neural graphics. Profile Bachelor’s, Master’s, or PhD in Computer Science, Computer Graphics, or a related field. Strong proficiency in C++ and Python, with a track record
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tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl. endoscopic, MR-, US-guided) Surgical training
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
3 Nov 2025 Job Information Organisation/Company Academic Europe Research Field Engineering » Electrical engineering Technology » Other Computer science » Other Mathematics » Applied mathematics
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methods in learning sciences and educational research You are preferably studying Computer Science or a related field You are interested in Learning Sciences or Human-Computer Interaction (HCI) You are
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
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assistant professorship or a tenured associate professorship in Structural Biology, Biophysics or Biological Imaging. We encourage applications from candidates who explore fundamental questions in biology
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limited to: • Analog and mixed-signal circuit design, including radio-frequency (RF) and millimeter-wave circuits, for communication, sensing, imaging, and signal processing; • Low-power
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The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims
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professorship or a tenured associate professorship in Structural Biology, Biophysics or Biological Imaging. We encourage applications from candidates who explore fundamental questions in biology ranging from