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Field
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Degree Doctorate Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty
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computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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will be supervised by Dr Laura Winchester and Associate Professor Alejo Nevado-Holgado and their teams in the Department of Psychiatry, with support of allied Oxford institutions specializing in
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agreed upon with the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor
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will, in addition, sharpen your didactics skills through experience as a teaching assistant. You must hold a two-year master's degree (120 ECTS points) in Robotics, Electrical Engineering, Computer Science
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databases such as the Web of Science. A few start-up interviews (max. 15) with people from evaluation committees, employees from The Danish Innovation Fund as well as prior applicants may also be conducted in
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(Department of Data Science and AI in the Faculty of Information Technology) and Associate Professor Susan Wei (Department of Econometrics and Business Statistics in the Faculty of Business and Economics
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, please see DTU PhD Guide . The assessment of the applicants will be made by Associate Professor Kaushik Das, Senior Researcher Matti Koivisto, Postdoc Rujie Zhu and Head of the RES section Gregor Giebel
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The assessment will take into account the following criteria: Willingness and ability to spend one year in Australia as part of the Alliance PhD program is mandatory. Experience with process technology and