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delivering the IL‑DARPA Quantum Proving Ground, including: Interfacing with DARPA program managers and technical teams. Leading facility design reviews, performance assessments, and milestone planning
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animal models to humans and includes Drs Agrawal, Greene, Klug, Manchaiah, Peng, Rennie, Santos-Cortez, Tollin, Uhler, and others. The ideal candidate for the position will have a Ph.D., MD or MD/PhD
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, organisational/community design) • Interaction Design (e.g. design-oriented HCI, user experience and interface design, research through design, design methodologies, interactive computing) Candidates are expected
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:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 8-20 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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):e202105146. APPLY HERE: https://www.img.cas.cz/phd Where to apply Website https://www.img.cas.cz/phd Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteInstitute
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the College of Agriculture, Human, and Natural Resource Sciences (CAHNRS). The position requires a PhD in Animal Science, or a related field, with experience in and knowledge of the US beef cattle industry
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of Vienna, is looking for support in human studies focusing on the interaction of nutrition, metabolic liver disease and immune responses. We are an interdisciplinary research team working at the interfaces
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Chair of the Scientific and Technical Advisory Panel (STAP) to the Global Environment Facility (GEF)
Result of Service The GEF STAP’s Mandate is to provide objective, strategic scientific and technical advice on GEF policies, operational strategies, programs, and projects. The Chairperson shall act
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creativity to analyse and interpret engineering data and draw conclusions on the outcomes. Act as a main point of contact and take responsibility for the organisation and operation of one or more aspects of
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to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data