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documenting experimental research results. Working closely with project partners. Candidate Profile: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems
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expertise in both the operation and maintenance of PVD systems (i.e., sputtering, PLD, ALD). Hold a PhD degree in Applied Physics, Electrical Engineering, Engineering Physics or a related field and have
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 11 hours ago
, Photonics, Quantum, Electrical/Mechanical Engineering, or relevant to the above technological areas and should be familiar with a few or more of the following analytical and experimental tools and processes
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within the project) can be found at its website: https://www.mobilitydesaignlab.nl/. Job requirements The candidate should have: a PhD degree in Artificial Intelligence (AI) or closely related topics in
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charge detection. More information can be found at: www.ftf.lth.se , www.nano.lu.se https://portal.research.lu.se/en/persons/ville-maisi Subject description QPHOTON’s aim is to design, fabricate and
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and experience: Essential criteria PhD Degree in a relevant area of the social sciences or humanities (e.g., history, sociology, anthropology, geography, political science, science & technology studies
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. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students, and undergraduate students. Applicants must have a Ph.D. in Electrical Engineering, Physics, or a
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engineeringEducation LevelPhD or equivalent Skills/Qualifications Essential qualifying criteria for the applicants are as follows. A PhD in engineering or physics awarded no earlier than 7 years before the application
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Minimum Education and Experience Candidates shall have completed all requirements for a PhD in building sciences, engineering, architecture, urban planning, energy economics, public informatics, or a
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. Background: You hold a PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems or related fields. Core Expertise: Strong expertise in Federated Learning and/or Continual Learning