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#00809026: – Requisition #:38567 Job Summary: The University of Colorado Comprehensive Cancer Center (UCCC) is seeking a PhD-level or equivalently experienced Bioinformatics researcher with a proven track
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Learning the “brain” of bacteria: decoding bacterial behaviour on surfaces to thwart infection (S3.5-MPS-Durham) School of Mathematical and Physical Sciences PhD Research Project Competition Funded
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develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infinite-dimensional optimization, and statistical machine learning. The goal is to
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funded by a EU programme Reference Number AE2025-0603 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais
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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical
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We are seeking a motivated and creative PhD student to explore safe and trustworthy planning under uncertainty in multi-agent systems. They will collaborate on interdisciplinary research which draws
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assimilation, and AI/ML in a manner that supports the participation of graduate students. The candidate may be expected to mentor PhD students in aspects of software development and usage. Qualification
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for applications of research staff to cover contractual positions assigned to research projects, available at the following website address: https://s.ua.es/es/nlJx , approved by the Governing Council of 22 December
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
PhD supervisors and co-direction Name: GAUCI Surname: Marc-Olivier Grade: HDR Institution: ICARE, Inserm U1091 Email: gauci.mo@chu-nice.fr Phone number: 04 92 03 70 27 Name: Micicoi Surname
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facing health, security, and sustainability with groundbreaking fundamental and applied research. By harnessing powerful tools and algorithms, researchers decode scientific complexities faster and at