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out-couplers to interface with external light sources. This architecture will serve as a platform for developing both optical sensors and optical signal processors, leveraging existing integrated
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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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FieldEngineeringEducation LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Essential: PhD in Materials Science, Physics, Chemistry, Engineering, Artificial
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condensates are dynamic, membraneless organelles formed through phase separation. Their material properties—fluidity, elasticity, and internal architecture—can shift dramatically in response to subtle
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with next-generation computing architectures. Main Tasks and responsibilities: Perform research related to the fields of: advanced memory concepts; voltage control of magnetism; interplay between surface
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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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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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to address: Soil compaction is a major constraint to sustainable agricultural production, as it reduces pore space, limits gas exchange, and restricts root growth and water infiltration. These structural
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. The CRG is composed by an interdisciplinary, motivated and creative scientific team which is supported both by a flexible and efficient administration and by high-end and innovative technologies. In April