200 application-forms-"https:"-"https:"-"https:"-"IFM" Postdoctoral positions at Nature Careers
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into meaningful scientific and clinical applications. This position offers an opportunity to expand scientific expertise, build a strong publication record, and contribute to cutting-edge imaging research in a
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Application for and coordination of international third-party funding Publications in peer-reviewed journals Innovative teaching Independent supervision of students and doctoral researchers Transfer of relevant
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that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a
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Applicants should be prospective postdocs or in the early stages of postdoctoral training (within 1-2 years of PhD conferral). Applicants must hold a PhD, MD, DO, PharmD, DVM, or equivalent degree in a
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"Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English
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The German Cancer Research Center (DKFZ) is one of Europe’s largest cancer research centers. “Research for a life without cancer" is the mission of our world-class scientists and all our team
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/material science or similar Pay grade E13 TVöD Fixed-term contract for 23.5 months Full-time/suitable for part-time The Bundesanstalt für Materialforschung und -prüfung (BAM) is a materials research
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as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF
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research and academic excellence. Ready to be part of our team? Let’s shape the future together! This is part of your personality: Completed doctoral degree (Ph.D. or equivalent) in organic synthesis. A
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We are seeking highly motivated and talented applicants for a 1-year postdoctoral position (with the possibility of 1-2 year extension) in the area of efficient foundation model inference. Join us