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of research experience; OR master's degree and two (2) years of research experience. Preferred Qualifications: Ph.D. in Geography, Environmental Sciences and Engineering or equivalent with emphasis on Flood
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understand, explain and advance society and environment we live in. Your role The University of Luxembourg invites applications for a fully funded Ph.D. position in machine-learning force fields (MLFFs
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, Environment, Science or Data Analysis, Statistics, Computer Science, Mathematics, Biology or related fields; Sense of responsibility and ability to communicate and integrate into multidisciplinary work teams
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for a motivated researcher who wants to solve actual spatial, environmental, and socio-economic problems using modern data, analytical tools, and computing methods. We expect an active approach, a
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or as soon as possible after that date. You will do most of your work at the City Campus in a dynamic and stimulating working environment. Find out more about working at the University of Antwerp here
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Within
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able to work independently as well as in a team environment. For additional details about the University of Pittsburgh, Department of Radiology, please view our website at www.radiology.pitt.edu
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appropriate, postdoctoral researchers; cultivate an inclusive, productive training environment. Teaching & Service: Provide guest lectures, seminars, or laboratory instruction as needed; participate in
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an international, collaborative and multidisciplinary environment, working with both academic and industrial partners in Denmark and abroad. Responsibilities Your primary tasks will be to: Conduct and supervise
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your