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Classification Title: Post-Doctoral Associate in Exoplanet Demographics Classification Minimum Requirements Must have PhD in Astronomy, Astrophysics, Physics, or other relevant space sciences
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About the role We are seeking a full-time Postdoctoral Research Associate in Power System Optimisation for Second-Life Battery Storage to join the Power Systems Architecture Lab within
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Job Posting Title: Postdoctoral Scholar, Climate & Community Resilience, Planet Texas 2050 ---- Hiring Department: School of Architecture ---- Position Open To: All Applicants ---- Weekly Scheduled
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Multimode Interferometer Cluster (COSMIC ), which enables one of the most comprehensive Search for Extraterrestrial Intelligence (SETI) programs to-date through ethernet-based digital architecture. However
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equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. The candidate should hold a PhD in experimental physics or similar degree and have
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. Contribute to scientific publications and disseminate results to decision-makers and communities. Qualifications required PhD in one of the following fields: electronics and embedded systems
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research focuses on the study of quantum magnetism at the atomic scale. We build artificial quantum architectures from single atoms and molecules on surfaces and on probe tips, control their spin states, and
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Creating and validating digital twin architectures that incorporate physical laws and constraints Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
systematic analysis of the pilot factory and establish a data architecture based on the available data structures in the production management system, including identification of the critical variables
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systematic analysis of the pilot factory and establish a data architecture based on the available data structures in the production management system, including identification of the critical variables