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economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
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Functional Theory (DFT)-accurate machine-learned interatomic potential (MLIP), enabling predictive MD simulations capable of resolving atomic-scale LCI mechanisms with near-DFT accuracy Investigate how silicon
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Position Title: Postdoctoral Researcher in Machine Learning and Computational Chemistry Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Postdoctoral
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and
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4.5 months, Fixed Term, whole-time Post Applications are invited for the position of Post Doctoral Researcher in The School of Chemistry. The InTeleCat project involves the use of machine learning
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Information Benefits Terms of Appointment: Salary Scale: Post Doc Researcher €47,273 to €55,399 per annum, depending on experience Fixed term Contract: 24 months to 31st December 2028 at the latest Hours: 35
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may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
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EU programme Reference Number 41/2026 Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-doc position available in the Institute of Physical Chemistry PAS
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analytics, including correlation analysis and machine learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical