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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 100% TVL E13
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Direkt zum Inhalt springen Login Register | Support Help Documentation Suche de | en MyTUM-Portal Technical University of Munich Technical University of Munich Home News News Calendar Calendar Important documents Important documents Jobs Jobs Online services and login pages Online services and...
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Where to apply Website https://tf.uniag.sk/sk/doktorandske-studium-2 Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications ANSYS, SYSWELD, CAD/CAM
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CAD modelling CFD Demonstrated ability to work independently and to formulate and tackle research problems. Demonstrated academic research experience as evidenced by publications in high quality
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or mechanical engineering background. Experience of experimental aerodynamics, particle image velocimetry, flow or aerodynamic measurements, compressible flow, CAD would be an advantage. As part of this role you
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skills with understanding of engineering design principles. Any experiences with CAD/CAM systems and programming are preferred. Funding Support The University promotes equality, diversity, and inclusion
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
of the trajectory. This grant targets the development and rigorous benchmarking of novel, energy-efficient CAD-based deep learning architectures that fuse visual and inertial modalities for the robust 6D pose
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engineering, fluid dynamics, 3D CAD, electrical engineering) Coding skills (Python) Your Benefits Competitive compensation and cenefits: In addition to the collective wage agreement under TV-L (classification
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ideas realized and tested on real silicon. How you will work Your research will combine theoretical analysis, behavioral modeling, and practical integrated circuit design. You will use advanced CAD tools
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, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage