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‑on experience in AI / machine learning development (excluding PhD); proven expertise in machine learning and generative AI methodologies (in the range of: LLMs, RAG systems, agentic AI, feature engineering, model
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-of-the-art statistical approaches. Actively communicate results to the developers of predictive models within ReDiLEEP. Disseminate your research through publications in leading international journals and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
institutes, with the student spending substantial time at each site to leverage their complementary experimental platforms and expertise. The PhD candidate will focus on developing novel control and modeling
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programming model Experience with the SYCL programming model Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently Work in a structured way, set
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to understand deformation-controlled hydrogen systems by integrating seismic observations and THMC physical modeling at three complementary sites: Comminges (primary target), Oman, and New Caledonia. The central
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-models, thereby avoiding double counting of effects, • developing and evaluating temporal machine-learning models for sequence-to-sequence prediction of fuel behaviour, • extending surrogate models
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, France to complete the project. Objectives The objective of this PhD project is to develop advanced numerical modelling tools to support the digital twins of refractory materials, with the aim
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of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307712/phd-candidate-in-explaina… Requirements Research FieldComputer scienceEducation LevelMaster
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the position We are seeking a highly motivated PhD candidate to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software
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Research Network – Krakow Institute of Technology Position: PhD Student – Scholarship Holder in the FIRST TEAM FENG Project Łukasiewicz Research Network – Krakow Institute of Technology announces an open