127 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"IMPRS-ML"-"P" positions at Technical University of Munich
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for 3 - 6 years, with the option to enter the habilitation program in the format of 3 + 3 years. The salary will be determined according to the German collective wage agreement in public service (TV-L 13
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) Programming: Python, version control (Git), comfort with reproducible workflows/CI What we offer We offer a full-time position as an academic staff member and a central role in a DFG Research Unit at the
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entrepreneurship education Data-driven optimization: Establish a systematic assessment and mapping of TUM's entrepreneurship education components to talent journeys Program development: Contribute to strategic
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working in a highly international research team Very good programming skills (Python, C++, etc.) are essential Fluent English language skills (written and spoken) are required Our offer: A full-time
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field. They should have a strong background in photoelectron spectroscopy and (photo)electrochemistry. Being familiar with CAD programs and having knowledge of PVD-based thin-film semiconductor
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mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g
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active learning is desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online
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Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid English-language skills. Experience with programming is highly
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in production engineering issues and their investigation Enjoyment of supervising and programming technical systems Purposefulness and independent working style Creativity and willingness to experiment
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and networking opportunities within the Munich AI ecosystem and within structured graduate programs: the Munich Centre for Machine Learning (MCML), the Munich Data Science Institute (MDSI), the local