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Funded PhD studentship in AI-assisted materials discovery at the UK National Epitaxy Facility School of Electrical and Electronic Engineering PhD Research Project Competition Funded UK Students
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accredited laboratory is desirable. Molecular microbiology knowledge is also desirable. A strong academic orientation is favorable, including evidence of scholarly achievement and proposals or current funding
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further latency. Crucially, current MRI systems lack any form of predictive intelligence that could inform optimal configuration ahead of, or during scanning. The Computer Engineering (CE) section
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on immunotherapy response. Where to apply Website https://ibb.edu.pl/en/phd-studies/rekrutacja/ Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Holding
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at https://jobs.rutgers.edu/postings/120405 and must submit a letter of inquiry to: Marco Zarbin, MD, PhD, (Phone: (973) 972-2038; E-mail: zarbin@rutgers.edu). It is university policy to provide equal
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accelerate the global shift to electric mobility. This PhD will build an AI-driven fleet-scheduling framework that learns from battery data in real time and optimises charging, operations and maintenance
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26FA0005 Posting Open Date 01/12/2026 Posting Close Date Qualifications Minimum Education and Experience Qualified candidates are required to have a PhD or an equivalent doctoral degree and experience in
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of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is looking for a highly-motivated and self-driven PhD candidate. The group utilizes
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University of Zagreb, Faculty of Electrical Engineering and Computing | Croatia | about 2 months ago
20 Nov 2025 Job Information Organisation/Company University of Zagreb, Faculty of Electrical Engineering and Computing Department Department of Electronics, Microelectronics, Computer and
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for an FWO PhD scholarship to further develop the initiated research (if eligible). Advantages strengthening the candidate’s profile, but strictly required: Experience with machine learning or system