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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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-academic training such as skills courses. A full description of our PhD training is available on our website: https://imprs-cpqm.mpg.de/105837/PhD-training . A Diploma supplement will be issued Yes
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stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file tolinda.petersohn@tu-dresden.de or to: TU Dresden
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 9 days ago
that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and
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of the Cottbus–Senftenberg research region and enhances its visibility. Through innovative research and new teaching and learning formats, BTU actively shapes the future. It contributes to addressing major
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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applicant has a strong background in bioinformatics and/or probabilistic machine learning, as well as experience in omics data analysis, and possesses solid English-language skills. Experience with
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of family education & counselling Educational qualifications with regard to digitalisation. Where to apply Website https://www.fh-potsdam.de/en/university-career/career/job-offers-fh-potsdam Requirements
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Website https://www.fh-potsdam.de/en/university-career/career/job-offers-fh-potsdam Requirements Research FieldOtherEducation LevelPhD or equivalent Skills/Qualifications Your qualifications In
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in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the