32 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"UCL"-"Prof"-"Dr" positions at Leibniz
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The Kiel Institute for the World Economy is seeking a Program Coordinator – Geoeconomics Training (Berlin Office) We are looking for a highly motivated and organized individual to support the high
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with the research groups at the DPZ and the Göttingen Campus. PhD projects cover a broad range of topics. A structured PhD program will offer many opportunities for the development of scientific and
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: development and coordination of the wind erosion monitoring program, the development and adaptation of measurement methods and modelling approaches both in the ZALF part of the project and between the involved
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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courses in the bachelor's and master's degree programs in the Faculty of Agricultural Sciences, Nutritional Sciences and Environmental Management, which are also attended by students from other faculties
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English. Have a clean driver's license. The successful candidate will be trained by and work closely with the long-term team of local field assistants and PhD students to contribute to the research program
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the program coordinators ELIGIBILITY Applications are welcomed from outstanding scholars in the humanities, political and social sciences, education sciences or law, with a project firmly located in the field
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with process based erosion models, field measurements and atmospheric boundary layer processes detailed knowledge of GIS, Google Earth Engine, and programming in these systems high degree of initiative
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the open-field (field trials) experience in the statistical analysis of research results or willingness to acquire such using R or comparable programming language experience in creating and evaluating
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development (e.g., PostgreSQL), including data modeling and the design of interfaces (APIs). Excellent programming skills (e.g., in Python). Ideally, experience with genomic and/or transcriptomic sequence data