219 structural-engineering "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at Nature Careers
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
PhD, MD, DO, PharmD, DVM, or equivalent degree in a relevant field at the time of appointment. Applicants must be U.S. Citizens, U.S. Noncitizen Nationals, or Permanent Residents at the time of
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
at the time of appointment. Applicants must be U.S. Citizens, U.S. Noncitizen Nationals, or Permanent Residents at the time of appointment. Strong communication skills, a solid publication record, and
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? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and
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organoid models – ideally with you on board! RESPONSIBILITIES: Contributing to the structural and methodological establishment of the Core Unit for Stem Cell Technology Generation, characterization and
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of Developmental Neurobiology, which houses specialized departmental shared resources, including an integrated support structure for rodent behavior testing, brain organoids, in vivo and ex vivo cellular imaging
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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may refer to https://www.uni.lu/snt-en/research-groups/apsia As a postdoctoral researcher, you will be fully funded by the project "Quantum LDPC codes with efficient decoding algorithms" supported by
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Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable
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relevant field (e.g. environmental science, chemical or environmental engineering, atmospheric science, or agroecology). Proven experience with gas flux measurements and instrumentation (e.g. chamber methods
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that currently lack effective treatments, such as Parkinsons Disease. By combining machine learning with quantum chemistry and structure based approaches, the project will accelerate the translation