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- Institut de Físiques d'Altes Energies (IFAE)
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activities. Specific Requirements • PhD in physics, nuclear engineering or material science • Coating fabrication by sputtering (e.g., magnetron sputtering; thin-film deposition workflows). • Materials
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for the long-term health of our code repositories and the versioning of models and data (Git, DVC, MLflow). Requirements: Education: Ph.D Degree in Computer Science, Engineering, Mathematics, Physics
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data for European and international funding applications. Specific Requirements PhD in Physics, Engineering, Mathematics, Computing, Bioinformatics or related fields. Master's degree in Data Science
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of control software and data management systems for the automated laboratory. Development and deployment of AI algorithms for adaptive experimental planning, optimization of experimental space, and automated
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3 Mar 2026 Job Information Organisation/Company UNIVERSIDAD PUBLICA DE NAVARRA Department Research Management Service Research Field Engineering » Communication engineering Physics Researcher
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Infrastructure? No Offer Description Role Description Artificial intelligence (AI) and quantum technologies are among the most transformative areas of frontier research and development in science and engineering
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and scientific exploitation of state-of-the-art, ground-based gamma-ray telescopes. As a key member of the MAGIC and CTAO-LST collaborations, the group develops critical hardware, software, and data
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well as on the physics analysis of the GW data. Required skills and evaluation criteria The successful candidate is expected to have: Physics PHD Internationally recognized experience on research using the LIGO-Virgo data
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Project: “Smart Technology for Remote Intervention in Diabetic foot ulcer prevention in Community settings -STRIDE-COM” funded by Instituto de Salud Carlos III (ISCIII) Proyectos de colaboración
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experimental techniques, including flow cytometry and metabolic flux determination using Seahorse technology. Experience in the use of statistical analysis software and understanding of bioinformatics analysis