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the disc is an added advantage. Career growth: The candidate will have the opportunity to co-supervise PhD students. Optionally, the successful candidate will have the opportunity to mentor master’s students
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). to design and test scenarios based on observational constraints for tropical coastal wetland systems, in particular mangrove forests, with a case of Indonesia. to collaborate with members of ZMT to design
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; you will communicate findings in meetings, publications and international conferences. Essential requirements: academic degree (MSc/PhD) in a relevant field (e.g., computer science, bioinformatics
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(accredited master/university diploma or equivalent in business administration, economics, social sciences, environmental sciences, industrial engineering or comparable) a completed doctorate degree/PhD in a
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project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and
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Doctorates at the University of Tübingen Funding and support for junior researchers Partner Institutions Innovation Back Technology Transfer Office Startup Center Industry Liaison Office Support Back Research
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team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
Integrative Postdoc Pool) is also designed to allow networking between (marine) institutions. We therefore offer the possibility for candidates to foster external relationships, or in consultation, to bring in
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administration, archiving and management of research data Your profile A completed PhD degree in history, media studies, STS or other relevant disciplines and/or in relevant fields of the humanities and
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review). Requirements: PhD in Psychology, Gender Studies or film studies Desirable: - relevant knowledge in trauma studies - Knowledge in the field of qualitative methods of interview evaluation