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Field
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that strengthens collaboration, reduces time-to-job, and drives innovation for a climate-neutral society. In this position, you will design and optimize learning communities that integrate learning
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theoretical foundation. We are looking for a candidate excited by the challenge of rethinking data systems in the face of modern constraints such as optimization under uncertainty, constrained query evaluation
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, polymers and composites, and sustainable materials. With over 70 researchers and PhD students, and strong national and international collaborations, MSN is a growing force in materials research. Job
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control for high-dimensional data. Application to individually optimized immunotherapy for cancer will also be considered. The grant covers two postdocs and three PhD students with complementing competences
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demonstrators, to be optimized and evaluated on flexibility, sustainability and efficiency for the corresponding use-cases, including the use of new and emerging specialized AI-focussed accelerators for radio
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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synthesis. Our state-of-the-art analytical instruments help us to quickly screen and optimize electrochemical reactions. In your role, you will join the electrochemistry subgroup of the Giovannitti group
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 16 Feb 2026 - 14:00 (Europe/Athens) Country Cyprus Type of Contract To be defined Job Status Negotiable Is the job funded
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reduces the energy cost, save water, recycle metals limiting economic dependence and preserve resources. The project aims to optimize the process and extend the applications in direct relation with