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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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architectures, capable of capturing the structure of complex, high-resolution NMR spectra – analogous to how language models such as ChatGPT learn the structure of human language. One of the primary goals is to
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. The group’s work in this area has led to best paper awards at PacificVis and Graph Drawing, with recent publications in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum
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to the public service agreement of Bavaria – TV-L E13 (75%, to be extended to 100% after 8 months). How to apply? Interested candidates should submit their application via email to Prof. Dr. Clemens Thielen
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Management attn. Violeta Aramayo Hans-Carl-von-Carlowitz-Platz 2 85354 Freising, Germany Email: bewerbung.edfm@ls.tum.de For questions about the position, please contact Prof. Rupert Seidl, rupert.seidl@tum.de
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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Application process Send your application in English by email to amx@wzw.tum.de with title “Research Associate application” at latest 01.07.2025 including • A cover letter (for example elaborating your
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-sections/section-ii/ Send your application with the usual documents, containing your comprehensive CV and transcripts as well as names of three potential references electronically as a PDF file to the
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technology. ▪ Close connection to the activities of the Munich Quantum Valley with its main goal to build a quantum computer based on different platforms, to develop suitable algorithms and applications, and
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chemical analyses. Please send your application via eMail to Jan Buellesbach (jan.buellesbach@tum.de) as a single PDF document until 3rd of July 2025. Applications should include a motivation letter, a short