163 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" positions at Leibniz
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supervision by an interdisciplinary Thesis Advisory Committee Enrolment in one of the Göttingen PhD programs offering compulsory and elective courses suited to individual needs and careers goals subsidy
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genomics, genome assembly and programing of scripts, R Very good written and oral communication skills in English Interest to species distribution modeling, paternal inference, conservation genetics and
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sustainable use of tropical coastal ecosystems. To this end, we work in an inter- and transdisciplinary manner with our partners in the tropics. The ZMT is a member of the Leibniz Association. Program Area
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in tropical regions. The working group is seeking a doctoral candidate (subject to release of funds) as part of the TropEcS extension, and embedded within the interdisciplinary ZMT Programme Area
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programming languages such as R or Python Experience with multiome data analysis (e.g. methylomics, Lipidomics, Proteomics, ATAC-seq) Proven experience with advanced computational methods such as deep and
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collaboration with cooperating institutions and enrolment in a local PhD program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration
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, environmental sciences, or a related discipline, is required. Basic knowledge and interest in atmospheric physics Skills in model & satellite data analysis is desired Fundamental programming skills and expertise
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programs in the Faculty of Agricultural Sciences, Nutritional Sciences and Environmental Management, which are also attended by students from other faculties and study degree programs. In addition, you will
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interdisciplinary Programme Areas (PAs) which work collaboratively towards achieving ZMT’s mission. This position will be located in and contributing to PA2 - Global Change Impacts and Adaptation, which addresses
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of measurement and control technology or programming skills, preferable in python First experience with modern methods of material characterization High motivation, initiative, creativity, and ability to work in a