1,784 evolution "https:" "https:" "https:" "https:" "https:" "Swedish University of Agricultural Science" positions in Germany
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applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to vpajob at tu-dresden.de or to: TU Dresden, Chair of Traffic Process Automation
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Assistance in the preparation and conduct of examinations Participation in organisational and administrative tasks (chair organisation) Where to apply Website https://stellenboerse.uni-mainz.de/jgu/job/54286
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no application deadline. Please refer to https://www.imprs-stns.mpg.de/application for details. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double
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of this position is the use of AI to support software development teams. Successful applicants must hold an excellent MSc degree (or equivalent, e.g. Diploma) in an AI-related discipline, e.g. computer
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workflows within selected ELM use cases by developing code to create semantic annotated data structures. Development of metadata schemas for typical synthetic biology steps and methodologies in ELM research
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preference. Your application: We are looking forward to receiving your online-application (http://www.ipk-gatersleben.de/en/job-offers/) as one single pdf-file by 15.02.2026. If you have questions or require
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dynamic and highly active research field KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and individually e.g., through training and networking
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regimes are desirable. In addition, the professorship will provide key impetus for the methodological development of the department. Ethnographic approaches are desirable here, especially in the sense
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University of Jena - Cluster of Excellence "Balance of the Microverse" | Jena, Th ringen | Germany | 3 months ago
individualized career development programs, and events on topics like diversity and collaboration Remuneration based on the provisions of the Collective Agreement for the Public Sector of the Federal States (TV-L
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parameters Development of learning rules considering the strong non-linearities of the neurons Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly