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About PhD@Tec21 : The Marie Skłodowska-Curie Cofund doctoral programme PhD@Tec21 is dedicated to training the next generation of experts in mechanical and chemical engineering. The programme targets
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We are seeking a highly motivated and skilled Postdoctoral Fellow to lead this innovative research program at the interface of proteostasis and transplantation biology. The successful candidate will
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
clinical application. The focus is particularly on photon-counting computed tomography (PCCT), 4D MRI flow imaging, and AI-supported analysis and modeling methods (e.g., CT-FFR, predictive software models
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in several areas of theoretical and computational physics including, but not limited to, statistical physics (including AI related physics) and large-scale simulation of quantum many-body systems
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess
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fellowships, to be held at the Crick or elsewhere. The Programme: Fellows at the Crick join a vibrant, multidisciplinary research community of over 1,000 scientists. They have full access to the Crick postdoc
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cytometry, non-invasive whole animal imaging, spatial transcriptomics and mass spectrometry, gnotobiotic research, advanced genomics, proteomics, and metabolomics, and high-performance computing. Candidate
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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, Materials Science, Energy Science, Energy Engineering, Optics, Computer Engineering, Integrated Circuits, Information Engineering, Robotics, Network Science, Artificial Intelligence, Financial Engineering