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quantitative skills and programming skills in R Experience with field work in remote and/or tropical areas Ability to work under physically demanding conditions Strong interest in the analyses of ecological
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English-language skills. Experience with programming is highly recommended. Above-average interest in the topic, we consider self-motivation and the ability to face new professional challenges as self-evident
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– company pension plan Senckenberg is committed to diversity. We benefit from the various expertise, perspectives and personalities of our staff members and welcome every application from qualified candidates
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increasing sustainable economic prosperity and social participation under constantly changing conditions. Want to know more about us and your career opportunities? Come and meet us at https://www.ifo.de/en
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programming skills (Python; ideally with experience in databases and cloud environments). Experience in image analysis and computer vision, ideally in the context of biological samples or materials science
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Research on long-term terrestrial paleoclimate and/or tectonics-climate interactions Participation in and contribution to an active, high-quality research program, as evidenced by publication in scholarly
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to program in the statistics framework R, and have worked in Python and Java Knowledge of metabolomics or chemistry will be an advantage Our benefits: Excellent working conditions in an international
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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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