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. Minimum Qualifications Required PhD in chemistry, physics, materials science, chemical engineering, bioengineering, or a closely related field Strong problem-solving skills and a high level of self
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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the hospitals for the design of the heart failure care pathway. Where to apply Website https://www.academictransfer.com/en/jobs/362171/postdoc-data-interaction-for-re… Requirements Specific Requirements PhD in
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significant contributions to fundamental machine learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics
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fossil fuels. For more information on our school please go to - https://www.unsw.edu.au/engineering/our-schools/photovoltaic-and-renewable-energy-engineering Skills & Experience: Level A A PhD in a related
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coordination of electric vehicle fleets to support resilient transport systems during emergency evacuations. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the
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of Mechanical Engineering, Chalmers University of Technology. This is an exciting opportunity to transfer cutting-edge methods from humanoid robotics to biomechanics and transport safety, in a collaborative and
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of students. Candidates must hold a PhD degree in Mathematics or Theoretical/Mathematical Physics with Interest in interdisciplinary research, and with less than 5 years post-reciept of PhD. The ideal candidate
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background in molecular biology, synthetic biology, or related fields (e.g., metabolic engineering) to join our team. Requirements PhD degree obtained no more than 5 years ago Hands-on experience with high
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: 2026-08-31 Where to apply Website https://academicpositions.com/ad/kth-royal-institute-of-technology/2026/postdoc… Requirements Research FieldComputer scienceYears of Research Experience4 - 10 Research