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the research area of adversarial robustness in LLMs as a Doctoral candidate / PhD Student (f/m/d) At the chair of Data Analytics and Machine Learning at the Technical University of Munich (TUM), a full position
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” are ready to be exploited. • You will also be involved in the training of students. Your qualifications and skills: • You have a PhD or equivalent degree in biology, agri-cultural biology or any related field
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of 5h / week during the teaching term (flexible topics) Requirements: • Master’s / PhD degree in climate, environmental, or Earth sciences • Experience in the management of scientific projects
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will contribute to the operation and maintenance of the scientific infrastructure of the group. Requirements: PhD in mass spectrometry-based proteomics and a compelling publication record. Extensive
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and collaborations with start-ups and spin-offs. Excellent training and career support, including courses and personal coaching. Opportunity to pursue a PhD (but not required). Your Qualifications A
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email to info.mmfm@mw.tum.de with the subject “PhD Applica-tion”. The application should include (one PDF document) a cover letter (motivation to join our group, how your previous work/knowledge/interest
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on the PhD program can be found here: https://www.wi.tum.de/programs/doctoral-program. Requirements • Master's degree in economics or related disciplines completed with very good results • Solid knowledge
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skills further, there is also the opportunity to aid in the planning, organization, and running of lectures. Required training, skills, and background • PhD degree in bio/medical engineering, materials
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and interests. PhD Researcher (50%): We also offer positions for researchers interested in supporting the project. The ideal candidate(s) will: • Be passionate about conducting empirical research in
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in