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group at IKZ Berlin, Germany is offering a PhD student position (m/f/d) Isotope-pure silicon epitaxy for quantum photonic chips Are you excited by semiconductor materials science and quantum technology
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as a PhD student in TUM’s graduate programme. Key responsibilities: Co-designing research methodology/approaches to study the political economy of climate mitigation policies in low- and middle-income
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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
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technology and/or computer graphics as well as interest in fundamental research and experimental working. Strong skills in VR, psychophysics, deep learning or computer simulation are another advantage Job
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to the table You have a master's degree (technical college, technical university, university) in mechanical engineering, physics, computer science, electrical engineering, materials engineering, materials
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at obtaining further academic qualification (usually PhD). We are looking for highly motivated candidates with a strong background in theoretical computer science (in particular, algorithm design). The
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function. We would also like to identify possible measures that could mitigate the negative effects. To achieve this goal, we are looking for you, a highly motivated PhD student (f/m/d) “systems neuroscience
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qualification (usually PhD). We are looking for highly motivated candidates with a strong background in theoretical computer science (in particular, algorithm design). The successful applicants will take part in
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of science, technology and administration as well as for the education of highly qualified young scientists. We are seeking a motivated PhD candidate to apply the emerging framework of information field theory
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. The program will equip doctoral candidates with the technical, analytical, and ethical skills needed to lead the future of patient-centered, AI-driven medicine. The advertised PhD project aims to develop robust