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interfaces (application programming interface, API) for system control are being developed in order to automate both process monitoring and process control. The API-based integration of the digital twin
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. Desired start is 01 July 2025. With this position the Geographical Institute enables a young researcher to explore, develop and concentrate on an own, individually chosen project on the wide field
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of microorganisms and develops novel natural product-based antiinfectives. The Junior Research Group Metabolomics-guided Natural Product Discovery (https://www.leibniz-hki.de/de/metabolomik-geleitete
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for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We
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for the compatibility of family and career Support for career development A positive working atmosphere in a supportive team Good access to laboratory resources and to data of the Dortmund Vitalstudy An interesting and
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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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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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opportunity to be an active part in the establishing of our department Comprehensive training programs and individual opportunities for personal and professional development Access to a strong research network
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Your Job: We are looking for a researcher to develop and apply machine learning models for genomic data in our lab. We focus on sequence analysis, genomics, semantics, and cross-domain data
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and industry partners A diverse range of activities in exciting, forward-looking, and varied research fields and projects, with numerous development opportunities Modern hardware and infrastructure