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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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Predoctoral Researcher (PhD Candidate) in Computational Simulation and AI for Therapeutic Ultrasound
Madrid (Spain). • Ability to enrol in an official PhD programme in Spain. • Interest in numerical simulation, machine learning and clinical applications of focused ultrasound. • Availability for conference
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VHIR. Selected fellows will spend around 50% of the time time of the fellowship at VHIR. Please review the full call details by clicking the link below (password: IBEC-VHIR2026): IBEC-VHIR PhD Programme
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holding a PhD in Computer Science, Mathematics, or related fields, preferably with specialisation in Programming, Algorithms, or Foundations of Computer Science. The candidate will contribute
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Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD Candidate to join the Animal Welfare
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Researcher (R2) Positions PhD Positions Application Deadline 5 May 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through
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19 Mar 2026 Job Information Organisation/Company UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile
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Researcher (R2) Positions PhD Positions Application Deadline 5 May 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through
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. Requirements: Education: B.Sc. and M.Sc. in Physics, Materials Science, Chemistry, Computer Science, or related disciplines. - DFT-based methods and molecular dynamics. - Machine learning, and data analysis