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Description/content (Veterinary) biomedicine (project-related courses), interdisciplinary basic sciences coursework, key qualification (statistics, epidemiology, animal welfare, biological safety, presentation
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 4 days ago
relevant first (or postgraduate) degree in the field of social or health sciences, bio/statistics, epidemiology or demography. Relevant experience in mathematical demography, statistics or other discipline
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/ double degree programme No Description/content During the course of the programme, PhD fellows are prepared to conduct independent epidemiological and public health relevant research. Following a
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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 15 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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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