17 programming-"https:"-"https:"-"https:"-"https:"-"IDAEA-CSIC" research jobs at Technical University of Munich
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for clinical optoacoustic imaging. Contribute to internationally visible research programs funded by the European Union and the German Government. Collaborate closely with clinical partners and an innovative
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), with the autonomy to shape a high-visibility research program. HOW TO APPLY Please submit a single PDF containing: a cover letter stating your motivation, research vision, and prior experience in VR
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equivalent doctoral degree) in Structural Engineering, Architectural Engineering, or a closely related discipline. A demonstrated interest in computational structural design and strong programming skills
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completion) in political science, economics, sociology, or a related social science discipline Excellent knowledge of quantitative research methods and statistics Excellent programming skills in R (or a
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programming skills (e.g., Python, JavaScript/Angular/Electron, C++, or comparable) Experience in developing virtual environments and using VR/MR/AR Knowledge in the field of artificial intelligence Experience
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strong programming skills, particularly in Python, are essential. Experience in timber engineering, geometry processing, and robotic fabrication is highly desirable. Excellent written and spoken English
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regular public lectures and symposia, weekly discussion groups, and a vibrant and supportive doctoral program at its Graduate Center. Application To apply, please upload the following documents, compiled in
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research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and supported by extensive national and
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prestigious Humboldt Research Fellowships for the Logistics and Supply Chain Management research group at TUM School of Management. With the scouting program, the foundation aims to attract highly talented
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independent and creative research; Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks; Proven expertise in one or more of the following areas: robot