245 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" Postdoctoral positions at Nature Careers
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referees to r.jin@uci.edu . Apply link: https://recruit.ap.uci.edu/JPF10029
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: Capable of independent and responsible pursuit of a research topic. See SPDR website for details. https://www.riken.jp/en/careers/programs/spdr/career2027/ Salary and benefits: 1. Annual salary paid in
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apply and should refer to PD2 posts instead. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/
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provides excellent opportunities to explore the intersections between these disciplines. Read more here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet Application
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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A postdoctoral fellow position is available at the Icahn School of Medicine at Mount Sinai, New York, at the laboratory of Dr. Eirini Papapetrou https://labs.icahn.mssm.edu/papapetroulab/ and the
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Postdoctoral position to study Polo kinase and centrosome abnormalities in cancer and other diseases
the centrosomal architecture and function, the deregulation of which can lead to the development of various human diseases, including cancers, microcephaly, and AIDS. For additional information, please visit https
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. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
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relevant field 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
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terrestrial networks, non-terrestrial network entanglement distribution. Your profile PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and