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object-oriented programming experience with data infrastructure and virtualization technologies strong interest in modern big data solutions, including machine learning experience with research data
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH) Institute of Computational Biology Ingolstädter Landstraße 1
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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is desirable. The professor will be required to teach classes provided by the Department of History in bachelor’s and master’s degree courses, as well as teacher training degree courses. The job tasks
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; Solid knowledge of statistics; Experience using machine learning methods and large language models (LLMs) for research; Experience in building and/or using large cultural datasets. We encourage
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, morphological and molecular approaches. In line with the MLU's long-term vision for knowledge cultures, learning, sustainability and transformation, the appointed Professor is expected to make a significant
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distinguished record in research. Educational skills are desired since the successful candidate is expected to teach courses in the B.Sc. and M.Sc. programmes of the Department of Geosciences at the University
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, artificial intelligence (AI), and socio-economic analysis. This program will equip them with advanced expertise in reservoir modelling, machine learning, advanced oxidation processes (AOP), and microbial
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of machine learning and clinical oncology, with access to a large multimodal research dataset, substantial GPU resources, and a collaborative scientific environment. Your tasks Design and implement LLM-based
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sampling for contrastive learning and its applications in geospatial artificial intelligence. About us The Professorship Big Geospatial Data Management concentrates on the methodology of acquisition