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? Please contact: Susanne Wilken, Associate Professor, [email protected] , T: +31 20 525 7070. Where to apply Website https://www.academictransfer.com/en/jobs/363294/postdoc-position-on-antarctic-m
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, Department of Statistics and Social PolicyCountryPolandGeofield Contact State/Province malopolska City Kraków Website https://urk.edu.pl/ Street aL. Mickiewicza 21 Postal Code 31-120 E-Mail dagmara.zuzek
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Established Researcher (R3) Positions Postdoc Positions Application Deadline 14 Sep 2026 - 15:00 (Europe/Warsaw) Country Poland Type of Contract Permanent Job Status Full-time Offer Starting Date 1 Oct 2026 Is
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Jul-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Environmental Sciences
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Code1012CXStreetKloveniersburgwal 48 Contact City Amsterdam Website http://www.uva.nl/ Street Spui 21 Postal Code 1012 WX STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail
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Contact City Warsaw Website https://cnbch.uw.edu.pl/ Street Żwirki i Wigury 101 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger
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and Centers: Health Policy Postdoc Appointment Term: The position is for a one-year term with the possibility of renewal for a second year. Appointment Start Date: September 2026 Group or Departmental
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-scale relevance. The successful candidate will: Develop and lead an innovative research program of leading international quality Teach and examine students at all levels including lecturing undergraduate
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Science Research unit: https://genomics.iit.it/ ESSENTIAL REQUIREMENTS PhD in computational biology, machine learning, bioinformatics, physics or related fields; High proficiency level in programming
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position within a Research Infrastructure? No Offer Description Activities and context: The fellow will develop machine-learning interatomic potentials (MLPs), trained on density functional theory-DFT data