57 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Sheffield
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How does a molecule walk? Computer simulations of molecular machines in action School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Prof Sarah Harris, Dr
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. The overarching aim of the project is to use machine learning methods to understand why many people who are referred for treatment will drop out prematurely. To do this, two studies are planned. One will use a
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; Communicating Data; Data Translation; Data Modelling; Databases and Beyond; Practical Programming for Data Science; and User Centred Design and Human Computer Interaction You will also carry out supervision of UG
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“An improved machining temperature prediction model for aerospace alloys: Effect of cutting edge radius and tool wear”, Journal of Manufacturing Processes 133 (2025) 1100–1110. https://doi.org/10.1016/j.jmapro
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, brain-inspired computation. Supervisor Bio Professor Eleni Vasilaki is a computational neuroscientist who has spent years building bridges between biological learning theory and machine learning. Her most
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environment and the generation of microstructure-based crystal plasticity models of additive manufacturing. Develop machine learning (ML) models to accelerate virtual material testing and verification. Generate
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the Ice Sheet and Sea Level System Model (ISSM). and/or The development of automated (e.g., machine learning) approaches for mapping glacier-surface morphologies on Mars. You will join a cutting-edge
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. This PhD project will build directly on this work by using ideas from machine learning—originally developed to study the movement of larger organisms—to understand how bacteria process information in
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to achieve a sustainable wind farm lifecycle by developing methods for high-value reuse of composite turbine blades. Machine learning and non-destructive evaluation techniques will be developed to efficiently
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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: Are you