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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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area has received best paper awards at PacificVis and Graph Drawing, with recent publications in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. Environment
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scientists are expressly encouraged to apply. Applications Please send your applications to Jürgen Hauer via email (juergen.hauer@tum.de) until December 1st 2025. The position is suitable for disabled persons
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RA_ITS_202510_A in the subject field of the email and provide your expected earliest starting date. Early applications are encouraged. Personal information submitted as part of your application will be processed in
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, preferably in English via an email to ai4eo@tum.de until 1. November 2025 at the latest. Please indicate “PhD application for Causal ML & EO for Urban Flood Resilience” in the subject line. The position is
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
. 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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number 2025-15-S2-VS via email to: Anja Albrecht (Administration) recruiting.leibniz-lsb@tum.de. We look forward to receiving your application! Data Protection Notice: As part of your application for a
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available; otherwise provide names, affiliations, and email addresses of at least two referees. Applications are reviewed on a rolling basis until the position is filled. Apply early. Incomplete applications
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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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comprehensive application, including your letter of motivation, CV, and academic transcripts of records, preferably in English via an email to ai4eo@tum.de until 30. November 2025 at the latest. Please indicate