503 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" PhD positions in Germany
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, please see https://www.uni-jena.de/en/Jena+living+international . Funding opportunities within the university Yes Description of the above-mentioned funding opportunities within the university
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data handling Strong self-initiative and willingness to learn and to quickly gain an understanding of new subject areas Joy in working independently, as well as within a team Strong problem-solving
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Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. | Dortmund, Nordrhein Westfalen | Germany | 8 days ago
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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support and mentoring for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz
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the Interdisciplinary Centre for Sustainable Development (IZNE). The doctoral students learn autonomous scientific work through participation in these international collaborative projects and centres. They also receive
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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on average expenditure: Rent, including ancillary costs (in Erlangen, Nuremberg and surrounding areas): 410 EUR Food: 198 EUR Clothing: 46 EUR Travel costs (public transport and/or car): 89 EUR Study materials
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embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments
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applicant has a strong background in bioinformatics and/or probabilistic machine learning, as well as experience in omics data analysis, and possesses solid English-language skills. Experience with
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plate array microscope for simultaneous time-lapse video microscopy, enabling high-throughput single-cell analyses of rapidly migrating cells. You will be responsible for Develop new machine learning