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Humboldt Research Award programme information. Humboldt Research Award programme information (PDF, 63 KB) Recently selected award winners Hint Online info event: If you would like to learn more about this
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RPTU University of Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 19 hours ago
environment of the transregio, one of the leading thoughts is the implementation of the general ''Problem-Based Learning'' principle, i.e., to combine the studies with hands on experience in research wherever
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(in the Erlangen-Nuremberg area): 325 EUR (250 to 600 EUR) Food: 168 EUR Clothing: 42 EUR Transport (public transport and/or car): 94 EUR Learning materials (depending on the subject): 20 EUR Health
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diagnosis, and knowledge of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in
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Centre of the university A Language Centre of the university A Centre for Learning and Teaching in Higher Education (ZHL) Supervisor-student ratio 3:1 University of Bayreuth The University of Bayreuth is
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, Management Science, Business Analytics, or a related field. Strong analytical skills with experience in AI, machine learning, or data analytics. Very good English skills in writing and communication
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models. Your tasks: Research, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in
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German language proficiency is not required. Applicants must provide proof of their English skills with one of the following certificates: TOEFL minimum of 550 (paper-based test), 213 (computer-based), 79 (Internet
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06.10.2023, Wissenschaftliches Personal The PhD position is on safety verification of Cyber-Physical Systems at the intersection between control theory and machine learning. The position is full
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private machine learning: Differential privacy (DP) is the gold-standard for privacy protection, but deep learning models trained with DP suffer from privacy-utility trade-offs. You will develop novel model