139 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
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05.03.2026, Academic staff The Munich Data Science Institute (MDSI) and the Collaborative Research Center LETSimmun (TRR 338) are jointly seeking a Data Steward (full-time, starting at the earliest
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Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement research ideas within
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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18.03.2026, Academic staff Location: Marsstraße 20-22, 80335 München Start date: As soon as possible Working hours: 8h/week Website: https://www.edu.sot.tum.de/en/lsdesign/welcome/ About Us The
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to apply. Applicants with disabilities are treated with preference given comparable qualification. further information: www.bio.nat.tum.de/cell/home/ The position is suitable for disabled persons. Disabled
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applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University
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, structural biology methods Expertise with computational workflows, scripting, or data analysis Excellent organizational, communication, and project management skills, ability to work interdisciplinary and
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-throughput data acquisition Quality control, method validation, and standardization of analytical procedures Collaboration with research groups within BioSysteM and exchange with your Technology hub colleagues
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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scientist with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related field Experience in applied data science and machine