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, they will take an active role in designing and commissioning a pioneering Self‑Driving Lab, a next‑generation autonomous research platform that will integrate Machine Learning and Bayesian optimization
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performance, yet their atomic-scale origin and role in reactivity remain poorly understood. The project addresses this open problem by integrating high-throughput Density Functional Theory, machine-learning
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Grant/funding reference: PID2023-149956OB-I00 Job title: Safe and efficient ports: comprehensive operational risk management through monitoring, advanced techniques and machine learning. PORT-AHEAD+AI
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Predoctoral Researcher (PhD Candidate) in Computational Simulation and AI for Therapeutic Ultrasound
research. • Availability to work on-site in Madrid (Spain). • Ability to enrol in an official PhD programme in Spain. • Interest in numerical simulation, machine learning and clinical applications of focused
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international expert groups. Contribute to scientific writing, grant applications, and doctoral research activities. Where to apply Website https://jobs.vhir.org/jobs/7564587-clinical-researcher-in-paediatric
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international expert groups. Contribute to scientific writing, grant applications, and doctoral research activities. Where to apply Website https://jobs.vhir.org/jobs/7564587-clinical-researcher-in-paediatric
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, IEEE INFOCOM 2020 [12] D. Bega, M. Gramaglia, M. Fiore, A. Banchs, X. Costa-Perez, DeepCog: Cognitive Network Management in Sliced 5G Networks with Deep Learning, IEEE INFOCOM 2019 [13]https
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This doctoral position is part of GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), a prestigious Horizon Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN): https
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dissemination through scientific conferences (oral presentations/posters), peer-reviewed journals and outreach. Where to apply Website https://calls.bcbl.eu Requirements Research FieldTechnology
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PhD Position – Development of metal-organic frameworks-glass composites for sustainable applications
to be interested in multidisciplinary work and motivated to learn from a variety of scientific fields. Experience in the field of metal-organic frameworks (MOFs) and crystallography is desired. Experience