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spiking neural networks Your Profile: Current master studies in physics, computer science, mathematics, electrical/electronic engineering or a related science or engineering field Strong background in
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such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems
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/content The Franco-German Master's and Doctoral programme is a joint programme of Heidelberg University and the École des Hautes Études en Sciences Sociales (EHESS) in Paris. The programme offers
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approaches to electrolyte systems Requirements: Candidates must have a Ph.D. in Physics, Chemistry, Applied Mathematics, or related fields. Desirable: - English language fluent, spoken and written - excellent
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interdisciplinary doctoral programme of the Institute for Employment Research (IAB) and the School of Business, Economics and Society of Friedrich Alexander University Erlangen-Nuremberg. It is specialised in labour
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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: economic sociology, historical sociology, (historical) political economy, historical social science, computational sociology - advanced skill in quantitative, statistical methods (R, stata, Python), ideally
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! Fraunhofer Institute for Computer Graphics Research IGD www.igd.fraunhofer.de Requisition Number: 80165 Application Deadline: 09/14/2025
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scenarios for tool wear detection and measurement What you bring to the table You are studying production engineering, mechanical engineering, or a comparable subject Initial programming (python) and Machine
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University, Faculty of Chemistry - more information about the PhD program at the HZDR can be found here Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund