3,136 information-security "https:" "https:" "https:" "https:" "Grenoble INP Institute of Engineering" PhD scholarships
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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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of approval of the candidatures. Further information at https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition Where to apply Website https://www.it.pt/ Requirements Research FieldEngineering
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Offer Description Synthesis and structural characterization of flavonoids, antimicrobial and cytotoxicity tests, data analysis. Where to apply Website https://www.uaic.ro/angajari_uaic/1-post-doctorand-in
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with new hires, ensuring the safety, compliance, and integrity of the workplace. Read more about The Technical Doctoral School of IT and Design Salary and terms of employment The employment is in
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qualifications and motivation. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in mathematical sciences (https://www.ntnu.no/studier/phma ) within three months
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tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-computer-simulati… Requirements Research FieldEngineeringYears of Research Experience1 - 4 Research
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safety. In particular, the candidate will investigate and further develop statistical and machine learning methods for modelling and forecasting traffic safety outcomes, and contribute to data collection
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, materials science, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc1/ DC2: Synthesis and Transport Studies of Magnesium-Based Thermoelectric Materials Host
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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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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