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16.02.2026 Application deadline : 02.03.2026 To implement the data-driven research agenda of the Cluster of Excellence GreenRobust (EXC 3099), we are seeking, at the earliest possible date, a Data
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for the following as soon as possible one student assistant (f/m/d) for 10 hours per week You will contribute to the survey methodological research of the data, including the preparation, testing, analysis and
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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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and concepts Supervise student projects and BSc/MSc theses Further information on the project is available at: https://karten-t.dfg.de/gepris/projekt/545776403 Your Profile: Master’s degree in
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of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is January 1, 2026. Please apply via our applicant portal . If you have any questions (reference number
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silicon wafers generates large data sets from extensive physical measurements. Efficient data preparation is therefore essential for short learning cycles. Your task is to enhance and implement automated
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic
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Master Thesis in Physics or Materials Science: Remanent phase shifter based on memristive technology
equal opportunities in which everyone can realize their potential is important to us. The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and
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for the Public Service). All information on the TVöD-Bund collective agreement can be found on the BMI website: https://go.fzj.de/bmi.tvoed . The monthly salaries in euros can be found on page 69 and following
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characterization (e.g. KPFM) of thin-film model surface for localized characterization across heterogeneous surfaces High-troughput data collection and physical parameter analysis for catalytic mechanism Exploration