38 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" research jobs at Nature Careers in Germany
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of equal suitability and qualification in accordance with the provisions of the German Social Code IX. In case of further queries regarding gender equality, please do not hesitate to contact our Equal
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scientists and, therefore, especially encourages them to apply. Contact details Prof. Dr. Gianni Panagiotou | +49 3641 532-1759 Applications: Leibniz-HKI is proud to be an equal opportunity employer and
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scientists and, therefore, especially encourages them to apply. Contact details Prof. Dr. Gianni Panagiotou | +49 3641 532-1759 Applications Leibniz-HKI is proud to be an equal opportunity employer and
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of Signaling and Functional Genomics, led by Prof Dr. Michael Boutros, is pioneering novel methods for high-throughput genetic and pharmacological perturbations to systematically analyze signaling pathways and
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teamwork skills. For further information, please contact Dr. Thomas Renné directly at t.renne@uke.de. Application Documents: Cover letter and curriculum vitae outlining relevant qualifications List
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cover letter, CV with publication list, and contact details of two to three referees. For further information please contact Herr Prof. Dr. Martin Dichgans, phone +49 89 4400 - 46019. Apply now LMU
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Clinical Cooperation Unit (headed by Prof. Dr. med. Johannes Betge) aims to identify cancer vulnerabilities and uncover mechanisms of treatment resistance by using patient-derived cancer models and high
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patients in ambulant treatment are medicated each year. Postdoc Molecular Biology Research in AML (m/f/d) We are seeking a postdoctoral researcher starting March 2026 to join the research group of Dr
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Additional benefits such as sports programs, job ticket, company events, cafeteria, and emergency childcare For inquiries, please contact: Prof. Dr. rer. nat. Timo Strünker T 0251 83-58238 Apply now via our
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Clinical Cooperation Unit (headed by Prof. Dr. med. Johannes Betge) aims to identify cancer vulnerabilities and uncover mechanisms of treatment resistance by using patient-derived cancer models and high