1,540 engineering-computation-"https:" "https:" "https:" "https:" positions at Nature Careers
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Affairs Manager, concerning tasks related to academic and scientific matters. Your role Talent Recruitment: Conduct the annual PhD Program Call and bi-annual PostDoc Program Calls, partnering with CeMM
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. Academic Clinician Track - Clinical responsibilities may include providing outstanding clinical care and productivity in program development as well as consultations for high-risk neonatology and maternal
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computing machine-learning innovation in connection with large-scale simulation-based research and observational data conceptual and technical development of data engineering / lifecycle (handling, streams, flows
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for the game changing impact of our science globally. Our employees enjoy access to state-of-the-art technology and a diverse range of specialist training opportunities, including support for leadership and
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ambitious, and the opportunity for collaboration with students as well as colleagues is real and constant. For more information on the department, see: https://www.swarthmore.edu/chemistry-biochemistry
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. The successful candidate will head the Neuroscience & Mental Health Programme as its incoming Director. Area of research interest may include neurodegeneration, psychiatry, learning and memory, and translational
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teams including clinicians, researchers, and engineers; (d) communicate findings through clear visualizations, reports, and presentations; and (e) ensure compliance with regulatory standards and data
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and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR), integrating RNA technologies
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
the relevant union. Starting date is 1 April 2026 (or according to mutual agreement). The position is a full-time position. The position is part of DTU’s Tenure Track program. Read more about the program and the
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong