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well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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genomics will be used to address questions relating to evolutionary relationships and biomineralization in Annelida. This position is funded through the Leibniz Collaborative Excellence Programme, with
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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is April 11, 2026. Please apply
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at: https://www.isas.de/en/datenschutz . The closing date for applications is April 18, 2026. Please apply via our applicant portal . If you have any questions (reference number 393_2026), feel free
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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is March 25, 2026. Please apply
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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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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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employ more people with disabilities. Qualified applicants with a disability will be given preference. Your application: We are looking forward to receiving your online-application (http://www.ipk
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of record, motivation letter) by March 8th, 2026. Please send it via our online applications system (single pdf file, less then 5 MB) https://www.leibniz-inm.de/en/job-offers-2/ For further information
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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