3,597 data-"https:" "https:" "https:" "https:" "Dr" "University of Aberdeen" PhD positions
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19 Mar 2026 Job Information Organisation/Company IMDEA Networks Institute Department Networks Data Science Group Research Field Computer science » Other Researcher Profile First Stage Researcher (R1
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metrics directly into the design loop to drive durable, resource-efficient components, validated against analytical benchmarks or experimental data. Where to apply Website https://www.jobbnorge.no/en
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next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
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17 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mathematical Sciences Research Field Mathematics Researcher Profile
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Industry PhD Scheme, and University of Birmingham, with the project being industrially co-supervised by Dr Andy Corbett and Dr Cyd Cowley from digilab. References: https://doi.org/10.1016/j.matchar
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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complete transcripts For more information please contact Prof. dr. Filip Van den Bossche, mail: filip.vandenbossche@kuleuven.be Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60633428
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24th April 2026 Languages English English English The Department of Mathematical Sciences has a vacancy for a PhD Candidate in Mathematical Foundations of Machine Learning for Sequential Data Apply
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Real-time stream data analysis within the general study
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role Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring Develop methods, models, and computational tools for sensor data validation, anomaly