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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g
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PhD position funded by AEI agency (Spanish Government) TOPIC: Magneto-ionics for information technologies: secure and energy-efficient memories and advanced computing A PhD position is available
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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g
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or MSc (or near-completion) in Physics, Materials Science, Computer Science, Electrical/Computational Engineering, or related field. - Hands-on Python (data wrangling, scripting, automation); comfort with
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activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: June-July 2025 How to apply: All applications must be made via the ICN2 website and
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and neural interface devices. This research project is highly multidisciplinary and will focus on 2D materials engineering to develop advanced strategies for the modulation of host tissue after surgical
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). Keep experiments reproducible (scripts, configs, logs) and write a short technical report. Requirements: Minimum required: - Enrolled BSc (Year 3-4) in Physics, Materials Science, Computer Science
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Electronic Materials and Devices (AEMD) group focuses on the material sciences and technology aspects of novel electronic materials, with a strong emphasis on graphene and other 2D materials such as MoS2
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials