24 computational-physics-superconductor Postdoctoral positions at University of Cambridge
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experience in computing and flow-synthesis would be highly advantageous. The project is due to start in April 2025. Appointment at the Research Associate level is dependent on the award of a PhD. Those who
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cloning, synthetic biology, systems biology, computational modelling, and image analysis would also be valuable to the role. The successful applicant will be an excellent team player, highly solution
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A position exists for a Postdoctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics modelling the decontamination of porous and absorbent material. This project
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world headquarters of AstraZeneca. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. The Unit is
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
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main coastal wetlands - tidal marshes, mangroves, and seagrasses. When applying please pay special attention to the personal specifications as these form the basis of the selection process. Please
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already) and apply online. Interested candidates can email Dr. James E. Thaventhiran (jedt2@cam.ac.uk ) for informal enquiries. If you have any queries regarding the application process, please contact
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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. Join our cutting-edge research program, spearheaded by Prof. Tamar Makin, as we delve into the fascinating realms of motor control, neural representation of the human body, and robotic body augmentation
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accomplishments and future research interests. Contact information for three references. For queries relating to your application or the application process, please contact Professor Matthew Gaunt via email on