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us as a full-time Research Associate / PhD candidate as part of the TUM GNI-funded research project VAULT-AI . Position overview Do you have a passion for digital construction technologies and enjoy
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references (include their name, their current positions and affiliations as well as their email address) - A maximum two-page statement outlining your interest in doing a PhD as well as your broader research
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investigate rapid structural changes. These experiments are complemented by laboratory methods, such as atomic force microscopy and light scattering. We offer two PhD positions. PhD topic 1: The project
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-mail to personal.lbam@ed.tum.de quoting “PhD Position in Additive Manufacturing” in the e-mail subject line. The position will be filled as soon as possible and only shortlisted candidates will be
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women are therefore expressly welcome. Application Interested applicants should send the necessary documents via e-mail to personal.lbam@ed.tum.de quoting “PhD Position in Additive Manufacturing” in
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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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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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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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: 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