826 data-"https:"-"https:"-"https:"-"https:"-"University-of-Minho" positions in Germany
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deadline) payments towards health, accident and personal liability insurance cover (see also our important information for scholarship applicants / section F, point 4) travel allowance Under certain
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data to derive robust relationships between water chemistry, reagents, and interfacial flotation mechanisms Support model development and model parameterization (e.g., attachment/detachment kinetics
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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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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. As part of our project with the start-up TwinCloud, we are looking for a Student
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suitability, severely-disabled applicants as defined in SGB IX will be preferred. For further information, please contact Ms. Arya Das at a.das.leibniz-lsb(at)tum.de . To apply, please submit your CV, letter of
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to what extent a subsidy will be paid, will be reviewed and determined on an individual basis (see important information for scholarship applicants , section F, point 8) Please note: Health insurance
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of equivalence with a German degree must be enclosed. For further information, please refer to the website of the Central Office for Foreign Education (ZAB). The DSMZ is an equal opportunity employer, supports
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date a Biostatistician Reference number: 2026-0057 The Division of Biostatistics provides state-of-the-art statistical support individually tailored to all scientific duties of the DKFZ. We analyze data
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science