74 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" scholarships at Technical University of Munich
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are available in early 2025 and will remain open until filled. Further information: https://www.mls.ls.tum.de/en/plasysbio/home/ Selected recent publications Graf, A., Bassukas, A.E.L., Xiao, Y., Barbosa, I.C.R
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iridium oxide-based materials, designed for acidic water-splitting reactions in polymer electrolyte membrane (PEM) units (e.g., https://onlinelibrary.wiley.com/doi/full/10.1002/aenm.202301450). Your tasks
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academic supervision from Prof. Henkel. You will participate in the doctoral program of the TUM School of Management; after about a year, there is the possibility to apply for the School’s Academic Train-ing
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to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign
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University of Munich (TUM), you will be submitting personal data. Please refer to our data protection information in accordance with Art. 13 of the General Data Protection Regulation (DSGVO) http://go.tum.de
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., for quantum computing, microfluidics, or conventional circuits and systems. Our focus on interdisciplinary partnerships and networks will enable you to meet many interesting people (at places all over the world
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the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your
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similar is required. • Hands-on mentality, independent and diligent operation is welcomed. • Excellent at working independently, taking initiatives, responsibilities, able to plan and carry out multi-tasks
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22.11.2020, Wissenschaftliches Personal The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning