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Field
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profile: Completed Master's degree in physics or related disciplines with good academic performance; sound knowledge of theoretical physics, transport phenomena, statistical physics, non-equilibrium physics
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Zurich focuses on advancing energy-efficient computing across the full performance spectrum, from ultra-low-power IoT nodes to high-performance systems. Its research targets an order-of-magnitude
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The German Cancer Research Center (DKFZ) is one of Europe’s largest cancer research centers. “Research
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Metal additive manufacturing process monitoring and control – Researcher, PhD position (ERC project)
the European Research Council (ERC). Laser-powder bed fusion of metals (PBF-LB/M), also known as selective laser melting (SLM), enables the production of geometrically complex and high-performance metal parts
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technical facilities for your work, ranging from high-performance computing and advanced imaging platforms to specialized experimental facilities. Networking and exchange: You will participate in
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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Muenster We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility. To meet our high standards every day, we are looking forward
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methods and design strategies to optimize polarization purity in active array antennas. By addressing these challenges, the candidate will contribute to the next generation of high-performance, active
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aims to develop skills for an autonomous mobile robot to perform complex manipulation tasks. Our goal is to enable continuous learning, allowing the robot to improve over time by gathering knowledge
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and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with computational neuroscience, connectomics and/or Machine Learning is appreciated. Our goal perform connectome