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Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden
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students in broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health
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Languages Courses are mainly held in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Other Application deadline The annual call for applications opens 1 July and ends 15
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international research group at the forefront of the field Conduct a PhD within the frame of an innovative and interdisciplinary research project Interact with a wide network of peers, scientists and stakeholders
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astrophysical transients (including kilonova), nuclear structure, nuclear reactions, fission, nuclear isomers, nucleosynthesis, and state of the art simulations. LANL scientists working in these areas include
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
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to maintain and operate GCMS and LCMS systems Coordination of major repairs with vendors, and management of spare parts and inventories Maintaining GC/MS and LCMS data system computers and archiving of data
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Research Researcher Job Description in Cancer Biology School: Department of Internal Medicine, The Ohio State University. Description: We are seeking highly motivated and enthusiastic Ph.D. or MD scientists
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and support by a panel of established professors and scientists (consisting of a panel chair, a professor from the natural sciences and a professor from information/computer/mathematical science
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experimentation with Asst. Prof. Eli N. Weinstein. Your goal will be to develop fundamental algorithmic techniques to overcome critical bottlenecks on data scale and quality, enabling scientists to gather vastly