1,312 computer-science-quantum-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
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catalysts are outperforming against their commercial counterparts, and we are working with international global leaders to help validate and scale our technology. You'll join a team of scientists based in
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materials synthesis, advanced operando characterization, and lab scale testing. We use robotic, high-throughput methods, and data science to accelerate novel sustainable materials discovery. PhD Position
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relevant to this area of research e.g. computer science, applied mathematics, operations research Strong expertise in exact and/or approximated methods, meta-heuristics and/or machine learning, Proven
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Master's and PhD degree in a relevant discipline in natural or life sciences, ideally with postdoctoral experience and/or company experience Proven experience and knowledge of German and international
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Demonstrated experience in science and project management, research administration, and regulatory affairs, ideally within an academic environment Very good English skills, both written and spoken Proven project
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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of Medicine (MD) programme, from pre-clinical courses to clinical rotations, as well as in postgraduate programmes. The successful candidate will be expected to engage students through innovative teaching
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) programme, from pre-clinical courses to clinical rotations, as well as in postgraduate programmes. The successful candidate will be expected to engage students through innovative teaching methods, fostering
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) programme, from pre-clinical courses to clinical rotations, as well as in postgraduate programmes. The successful candidate will be expected to engage students through innovative teaching methods, fostering
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) programme, from pre-clinical courses to clinical rotations, as well as in postgraduate programmes. The successful candidate will be expected to engage students through innovative teaching methods, fostering