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of experience are required for higher rank positions. Clearance Ability and willingness to obtain DoD security clearance is required. BS in Electrical Engineering or related field required; MS or PhD preferred. 7
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Researcher (R2) Positions PhD Positions Application Deadline 5 Mar 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU
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health in Europe. This project is part of Work Package 3 (Trustworthy Data and Models) of the EU Horizon ENDOTRAIN doctoral training network. The recipient of this PhD position will carry out research
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presenting technical work at scientific conferences Required Qualifications: Required qualifications PhD in engineering, neuroscience, biostatistics, bioinformatics, computer science, or a related quantitative
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learning for mathematics (e.g., model architectures for theorem proving, data-driven exploration of mathematical structures) Or experience in related areas and a passion for mathematical discovery We welcome
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or
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to the success of the whole institution. At the Faculty of Computer Science, Institute of Computer Engineering, the Chair of Compiler Construction offers two full-time project positions in the context
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» Industrial engineering Technology » Information technology Computer science » Programming Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 22 Mar 2026 - 23:59 (Europe
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2 Mar 2026 Job Information Organisation/Company Ecole Centrale de Lyon Research Field Chemistry Computer science Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives. You will develop and deploy a self-supervised pre-training