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be filled as soon as possible. The candidate is expected to actively participate in the acquisition of third-party funding and to contribute to the development of collaborative research programs
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for improving data protection (privacy enhancing technologies, e.g. federated learning, differential privacy, secure multi-party computation, homomorphic encryption) for biomedical data. Knowledge of algorithms
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meaningful research and teaching perspective, and a list of successfully acquired third-party funding. Please send your application in English to the Dean of the Faculty of Agricultural Sciences, Prof. Dr
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of third-party funded projects, commitment to teaching and excellent teaching skills must be demonstrated. We are looking for a person with high social competence, a pronounced understanding of organization
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and previously raised third-party funding. If you have questions, please do not hesitate to contact: - Prof. Stefanie Gräfe, spokesperson of the CRC NOA, [email protected] , - Prof. Ulf Peschel
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into targeted applications. This position is for a limited period of three years as part of a third-party funded project and is to be filled with 65% (negotiable, possibly more) of regular weekly working hours
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pm). Job-ID 6644 (please indicate for inquiries) We look forward to your application! *BioNTech does not tolerate discrimination, favoritism, or harassment based on gender, political opinion, religion
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of publications and third-party funding, teaching experience as well as a completed applicants’ questionnaire to be found at www.f03.uni-stuttgart.de/fakultaet/#id-dcd6f845-1 ) are requested by 31.03.2024
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for inquiries) We look forward to your application! *BioNTech does not tolerate discrimination, favoritism, or harassment based on gender, political opinion, religion or belief, nationality, ethnic or social
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. This includes the coordination of statistical consulting services. Accordingly, excellent research achievements in the advertised field are required, evidenced through publications and competitive third-party