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Field
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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algorithms, computational complexity theory, and information theory Relevant coursework and experience in spiking neural networks, and statistics A strong electronics background, including experience in
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30 Jan 2026 Job Information Organisation/Company CNRS Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Apr
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two companies. The project has partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications
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found on the website: https://www.graduateschool-computerscience.de/ . Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No
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15 Jan 2026 Job Information Organisation/Company Empa Research Field Computer science » Other Engineering » Other Mathematics » Applied mathematics Mathematics » Statistics Researcher Profile First
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. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 21 days ago
Intelligence Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Jan 2026 - 12:00 (Europe/Warsaw) Country Poland Type
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characterize food items on a molecular level. To yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic
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series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is