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-doctoral researchers trained in physics, biology, and chemistry with whom the successful candidate will collaborate closely. Applicants must have a PhD in physics or biological physics. Excellent analytical
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Post-Doctoral Associate/Associate Research Scientist in the Division of Science (Biological Physics)
the successful candidate will collaborate closely. Applicants must have a PhD in physics or biological physics. Excellent analytical skills are required and prior experience in soft matter or biological physics
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undergraduate or PhD students. Applicants must hold a PhD in chemistry, physics, materials science, or a related field, with a focus on crystallography. To apply, submit a cover letter, a curriculum vitae that
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occasional light teaching support expected, including assisting in one course per year and possibly mentoring of students. Candidates must hold a PhD degree in Mathematics or Theoretical/Mathematical Physics
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to date with the latest advancements and trends in the field Help supervise PhD and MSc students and Research Engineers, as needed Contribute to the development and maintenance of our lab’s AI research
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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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, chemistry, and physics. The candidate will have access to state-of-the-art research facilities and will contribute to projects spanning fundamental materials development to applied pilot-scale systems
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Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD in Computer Science, Mathematics, Physics, Bioinformatics, or a related quantitative
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Materials Lab and assist in supervising undergraduate or PhD students. Applicants must hold a PhD with at least 3 years of experience in chemistry, physics, materials science, or a related field, with a focus
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, Wearables, and Healthcare). The long-term vision of the eBRAIN lab is on embedding an energy-efficient and secure electronic brain inside modern cyber-physical systems (CPS) and IoT-Edge devices to enable