288 engineering-computation-"https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at Nature Careers
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& Intelligent Precision Therapy, Clinical Research & Big Data in Ultrasound Therapy. Required Disciplines: Physics, Electronics, Instrumentation, Materials, EE, Biomedical Engineering, Computer Science, Mechanics
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
in mentoring and shaping the lab's interdisciplinary culture. We Are Looking For Someone Who • Has a PhD in computational biology, microbiology, systems biology, engineering, physics, CS, or a related
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Postdoc position within antibody engineering and therapy in Parkinson’s Disease We are seeking applicants for a 2-year postdoctoral position in Daniel Otzen’s research group at iNANO. This is a fix
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programme and the application process, please visit the Charleston website: https://cuni.cz/UKEN-2185.html . For inquiries, contact us at msca.charleston@cuni.cz.
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The Photonics and Optomechanics Group at the National Institute of Standards and Technology (NIST) in Gaithersburg, MD, USA is seeking multiple postdoctoral scholars to carry out research in
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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, the Division of Signaling and Functional Genomics at the German Cancer Research Center is seeking as soon as possible a Postdoc – Bioinformatics / Computational Biology Reference number: 2026-0007 The Division
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types