252 parallel-computing-numerical-methods "Prof" Postdoctoral positions at Nature Careers
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behavioral measures in healthy human participants combined with quantitative modelling. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
To strengthen our team in the division “Acoustic and Electromagnetic Methods" in Berlin-Steglitz, starting 01.01.2026, we are looking for a Postdoctoral researcher (m/f/d) in the field of physics
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your full potential: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your talents Contact: Prof. Dr
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: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your talents Contact: Prof. Dr. Michele Wessa Phone: +49 (0
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work, animal studies, and computational biology. Payment is based on the Swiss National Science Foundation (SNSF)'s funding regulations for postdoctoral fellows. How to apply? Prof. Dr. med. Sebastian
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, microbiology, or computational science. Further information about available projects can be obtained by email to Prof. Franziska Faber (franziska.faber@uni-wuerzburg.de ) and Prof. Jörg Vogel (joerg.vogel@uni
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call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in
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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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these properties in collaboration with geodynamicists to create numerical models of planets. We are looking for a highly motivated individual who would want to be part of a five-year research program to quantify
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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