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Field
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(e.g., hardware development, software implementation in various processor platforms) is required. In-depth understanding of power electronics and its engineering constraints is required. Strong English
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events and will work collaboratively with the MetaRbolomics4Galaxy project developer from IPB Halle in Germany. The candidate will be working under the supervision of Dr. Johannes Rainer, co-founder
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
diversity and brings together expertise in software engineering, big data, clinical informatics, and medicine. Key Responsibilities Collaborate with researchers to design, develop, and refine large language
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importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in surface engineering and materials science who has: a PhD in physics, chemistry, chemical
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to have a PhD degree in Robotics & AI or classical majors such as Mechanical/Electrical Engineering/Computer Science/Mathematics, with a specialization in themes such as robotics, systems & control
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About us King’s College London is one of the UK’s leading research institutions, committed to excellence in science, engineering, and healthcare innovation. This position is based within
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meetings with the soundboard group that is connected to the Demonstrator proposal. You support our efforts for further business development together with our Project Manager and Business Developer. You
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fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus of the position
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Postdoctoral researcher in Controlled-Release Fertilizers, Agronomy, Agricultural Sciences, and process development Job Qualifications: PhD in applied Chemistry, Materials Science, Chemical
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engineering-based research applicable to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations