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(UTC) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 7 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Overcoming the Terascale Design Challenge: Next-Generation Efficient AI for Discoveries in Surface Science and Catalysis research project, an ambitious research programme establishing a next-generation
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5 Aug 2026 Job Information Organisation/Company INESC TEC Research Field Computer science » Informatics Engineering » Electrical engineering Mathematics » Applied mathematics Researcher Profile
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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remains a substantial gap between the theory and practical behavior of many widely used algorithms. This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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governance, digital campaigning, civic engagement, algorithmic publics, public advocacy, political rhetoric, public opinion, and the ethical, social, and democratic implications of emerging communication
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to support reliable DAS interpretation and urban infrastructure monitoring. Key Responsibilities: Develop automated, uncertainty-aware algorithms to infer and map fiber-optic cable routes from DAS-derived
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Aug 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description