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(Wissenschaftszeitvertragsgesetz - WissZeitVG). A shorter contract term is possible by arrangement. The position aims at obtaining further academic qualification. Professional assignment: Chair of Machine Learning for Spatial
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 3 hours ago
spatial sustainability science subjects, transformative leadership, and technical skills in research, writing, and publishing. Additionally, fellows may choose courses from the wide-ranging programme of
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economic factor: around 80% of all decisions in society are said to have a spatial component, due to the fact that everything happens somewhere at some time. GI is essential to numerous application areas
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None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The PhD programme Medical Research in Epidemiology and Public Health is an international and
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genomic, transcriptomic, epigenetic, proteomic, digital spatial, and other ‘omics data in healthy and disease states close interaction with the bioinformatics and immunology teams of Katrin Kierdorf, Julia
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flowering times over large spatial scales. Now, the PollenNet project seeks a highly motivated PhD student working at the interface of plant phenology, citizen science and ecological modelling. The PollenNet
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Degree PhD in Health Data Sciences Course location Berlin In cooperation with Institute of Public Health, Charité - Universitätsmedizin Berlin Institute of Biometry and Clinical Epidemiology
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, pathogenomics, chronic inflammation, autoimmune diseases, development and differentiation of immune cells and infectious disease epidemiology. Max Planck Institute for Infection Biology The Max Planck Society is
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to psychological and clinical measures and outcomes, epidemiology, statistics, and bioinformatics. Work in an environment of scientific excellence and interdisciplinary collaboration IMPRS-TP is a joint initiative
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requirements are Experience in working with large-scale spatial-temporal traffic and/or travel behavior data, e.g., loop detector, floating car data, GPS data, cellphone data. Experience with transport