204 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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multidisciplinary team, and show a high level of initiative. As a Research Associate you will hold a PhD (or be close to completion) in Mechanical Engineering, Electrical Engineering, Computer Science, Human-Computer
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like MEMS, with minimal computational cost. By developing an advanced reduced order modelling framework, this project will empower engineers and designers to achieve more with less—delivering high-impact
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oppdatert 09.02.2026 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
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requirements PhD or equivalent academic qualifications with a specialization in AI in areas relevant for the project (e.g., MIR, computational music analysis). The applicant is required to demonstrate how
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effects while building machine-learning-ready kinetic datasets for predictive catalyst design. You should have a PhD (or about to obtain) in Chemistry or field related to this project (Chemical Engineering
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transfusion Excellent interpersonal and communication skills. Preferred Qualifications Enrollment in or interest in enrolling in a veterinary technician program, with tuition reimbursement opportunities
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eligible Any undergraduate course offered by Swinburne University of Technology. Eligibility / selection criteria To be eligible for The George Alexander Foundation Scholarship, applicants must: Meet the
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RAP opportunity at National Institute of Standards and Technology NIST Determination of Structural Ensembles Describing Conformational Averaging in Proteins and RNA from Solution NMR and X-ray
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RAP opportunity at National Institute of Standards and Technology NIST Development of Procedures for Increasing the Information Content of the Biomolecular Solution X-ray Scattering Data and
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RAP opportunity at National Institute of Standards and Technology NIST Advancing Cell-Based Viral Infectivity Assays: Enhancing Reproducibility and Automation Location Material Measurement