184 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Technical University of Munich
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mycological methods and Omics techniques preferable (particularly proteomics) • Good command of German and/or English required; willingness to learn either English or German is expected We are offering • A
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Requirements: Applicants should hold an MSc or Diploma in Engineering, Computer Science or a related discipline. Background in Machine Learning and Artificial Intelligence. Strong programming skills (Python
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in machine learning and an interest in agentic AI, deep reinforcement learning, and applications in economics. The full-time positions (100%) are initially offered for two years, with the possibility
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Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche/ The position is suitable for disabled persons. Disabled applicants will be
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Technical University of Munich School of Computation, Information and Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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to claus.schwechheimer@tum.de Positions are available immediately and will remain open until filled. Further information: https://www.mls.ls.tum.de/en/plasysbio/home/ Examples of our research Xiao, Y., Zourelidou, M
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of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
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. Contact details of at least two references. All the other positions offered by COMBINE can be found in https://euraxess.ec.europa.eu/jobs/401249 The position is suitable for disabled persons. Disabled
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on developing the imaging system as well as novel machine learning approaches for image analysis and disease classification using field data from German and Brazilian agricultural trials. Responsibilities Design