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Applications in English should include: Cover letter explaining your motivation Curriculum Vitae (including your contact address, work experience) Copies of diplomas List of publications Summary of recent research and projects Sketch of planned research and publication activities (2 pages...
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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, with strong analytical and computational skills, with knowledge of one or all of the following: Dynamic Transport Modelling Demand Estimation and Forecasting Agent-based Modelling and Simulation Data
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, Python)—knowledge of machine learning/data science is a plus; Excellent communication and collaboration skills in an interdisciplinary and international environment; Fluency in English (oral and written
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character. The Faculty of Humanities, Education and Social Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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or social sciences with experience in conducting historical research Fluency in two languages is required (English and French or German); in addition, advanced knowledge in a third language is required
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biological matrices. Knowledge in the field of human exposure to pollutants. Skills in Epidemiology and statistical treatment of data will be considered an asset. Significant record of publications in peer