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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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information should be integrated or not. For this purpose, we will use psy-chophysical and neurophysiological methods as well as computational modelling. Tasks in the project include:•Planning and conduction
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
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, biologists, and computer scientists at the Universities of Tübingen and Hohenheim and the Senckenberg Institution of Biodiversity and Earth System Research in Frankfurt, investigating how the interactions
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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Parasitology, Biophysics to Social and Computational Sciences and Health Economics. Please check our Webpage (link below) for further information about the PhD projects and required backgrounds. Our 9 projects
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14.08.2023, Wissenschaftliches Personal The Chair Group of Production and Resource Economics at the TUM School of Life Sciences Weihenstephan and the TUM School of Management offers two positions as
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16 Sep 2025 Job Information Organisation/Company Helmholtz-Zentrum für Umweltforschung - UFZ Research Field Environmental science Researcher Profile First Stage Researcher (R1) Country Germany
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, geoinformatics, Data Science (Natural Language Processing), computational linguistics, taxonomy (especially entomology), or ecology with strong data skills Experience with text mining of scientific and historical