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researchers, it is a globally respected institution that also has outstanding economic significance for the Rhine-Neckar metropolitan region. Research Assistant/PhD Position – Computer Architecture (f/m/d
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Description The Chair of Decision Sciences and Systems at the Technical University of Munich (TUM), led by Prof. Martin Bichler, is seeking candidates to join the newly established research team for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics.” **Positions...
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans and animals shape and behavior. In the Eye
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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their achievements and productivity to the success of the entire institution. At the Faculty of Electrical and Computer Engineering, Institute of Solid State Electronics, Chair of Coating Technologies in Electronics
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their achievements and productivity to the success of the entire institution. At the Faculty of Electrical and Computer Engineering, Institute of Solid State Electronics, Chair of Coating Technologies in Electronics
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THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
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i) hearing and ii) vision and explore the potential of optogenetics for iii) gastric pacemaking and iv) brain-computer interfaces. These four teams are supported by the platforms for 1) opsin
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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discipline (computer science, neurosciences, biology, cognitive sciences) • Skills in perception psychology, neurosciences, machine learning, tracking technology and/or computer graphics as well as interest in