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areas of nanoscience and nanotechnology. Job Title: Research Assistant - AI Optimisation for Materials Design Research area or group: Theoretical and Computational Nanoscience Group Description of Group
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infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear
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Postdoctoral Research Associate in Solid-State Modelling ( Job Number: 25001351) Department of Chemistry Grade 7: - £38,784 - £46,049 per annum Fixed Term - Full Time Contract Duration: 36 Months
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Full time 20 month fixed opportunity. Located in the Civil Engineering Building on the Camperdown Campus Advance sustainable mining through granular material mechanics Base Salary Level A Step 6 - 8
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studying the disruption of calcium homeostasis in the setting of cardiac and neuronal damage. Studies underlying molecular signaling. Utilizes approaches including the extensive use of mouse models
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scenario modeling for local and international decision-makers. The primary project centers on developing risk maps for yellow fever and evaluating diagnostic and vaccination strategies in Africa and South
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develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung infection. As part of this work, the postholder will
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Additional Information Eligibility criteria ● A relevant PhD degree in semiconductor physics, material sciences, or similar. ● Hands-on experience with III-V semiconductor deposition processes (e.g. MOCVD, MBE
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include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and iterative solvers. Successful applications will work in applications
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Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve