711 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" positions at Nature Careers
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team in the Scientific Research & Innovation group. Within a week of working here, your day could look like this: Provide senior scientific expertise for the regulatory science research programme in
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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: Doctoral degree Start date: 1st March 2026, or as agreed. Job description A four-year Ph.D. research fellowship is available at the Computational Chemistry Chemistry and Biochemistry Group (CCBG), Linnaeus
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your personality: Completed doctoral/PhD studies in the field of law. Outstanding dissertation in the field of financial markets or securities law (preferably written in English). Proven research
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part of the doctoral program "Educational Innovation Needs Educational Research." As a University Assistant Praedoc, you will join the research team led by Prof. Susanne Schwab (Chair of School Pedagogy
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Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
leading role in the development of a dual-study program in Physics (BSc) or an international four-year BSc in STEM subjects. The requirements for an appointment include a completed university degree, a
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spanning basic, applied, and clinical immunology. Successful candidates will enjoy access to cutting-edge core facilities, shared research equipment, and an outstanding DBBS graduate program. You will also
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. Applicants must have: A medical degree or a terminal research degree (PhD or equivalent) in a relevant discipline. An actively funded research program in basic or translational research relevant to bladder and
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on the production and in vitro characterization of several enzymes in parallel (proteases and hydrolases). This research programme is part of an international effort to answer the call for the development of new
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will be teaching part of an interdisciplinary course which explores the intersection of physics, biology, and artificial intelligence, equipping students with analytical and computational tools to model