91 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers in Germany
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and other multimodal datasets Design and fine-tune machine learning and deep learning models to extract meaningful patterns and predict metastatic behavior Collaborate closely with experimentalists
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their research and teaching and to become actively involved in the new Bavarian Fusion Cluster (BFC). The professor will be expected to teach in the degree programs currently offered at the Department of Materials
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are expected in agricultural study programs of the Faculty of Agricultural, Nutritional and Engineering Sciences that relate to modeling and computer simulations of plants. The recruitment requirements are based
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of Bonn (https://berufungsportal.uni-bonn.de/openProcedureList.do ). The application can be submitted in German or English by January 19, 2026. Dean’s Office in the Faculty of Medicine University of Bonn
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job childcare support an idyllic green campus, which is easily accessible by bicycle, public transport or car free use of Nextbike from the Buch S-Bahn station to the campus Subsidy for the job ticket
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Germany (https://ngs-kn.de ). Its primary technological focus is on implementing innovative methods for single-cell and spatial sequencing, as well as bulk short and long-read sequencing applications. With
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the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file toiak@mailbox.tu-dresden.de or to: TU Dresden, REC², Prof
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Research Associate Development & application of wire-mesh sensors for thermohydraulic test facilitie
(stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as
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references) by February 16, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https
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references) by February 16, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https