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16 Jul 2026 Job Information Organisation/Company UNIVERSITAT POMPEU FABRA Department Department of Economics and Business Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 4 Aug 2026 - 23:59...
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. The postdoctoral fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus
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French National Institute for Health Research (INSERM) | Paris 15, le de France | France | 2 months ago
The INSERM Chair “Regulation of the Immune System” aims to identify new mechanisms regulating the immune system by considering the global context of the host and the tissues in which immune cells
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follow specialized training programs (e.g. ARENA). Specific Requirements Knowledge: Linear algebra, probability and statistics. Graph theory and algorithms on graphs. Machine learning and deep learning
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alongside AI? This project studies how AI agents, AI-mediated processes and platform algorithms reshape co-creation and moral questions in creative industries. It follows employees, freelancers and studios as
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algorithms in the context of the ERC WINC project (www.winc-project.eu ). Functions to be developed: Study recent trends in the field of quantum computing for communications and computing. Analyze limitations
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algorithms, and some knowledge of data science and machine learning (through coursework, self-learning, or personal projects). The selected student will work with Ph.D. and master's students to help develop
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investigate how algorithmic requirements, This is a full-time, fixed-term position for up to 36 months, with the precise end date subject to confirmation. The role is based in the School of Engineering at
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primarily on the development, validation, and implementation of the Psychological Referral Optimization algorithm (PRO). PRO is a brief digital e-screening tool designed to support early identification, risk
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mHealth systems integrating smartphones and wireless sensors with signal processing algorithms and artificial intelligence (AI) models for unobtrusive sleep apnea detection, multi-night monitoring