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Details Title Pre-Doctoral Fellowship in International Finance & Macroeconomics (Prof. Gopinath) School Faculty of Arts and Sciences Department/Area Economics Position Description This is an
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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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environment. Key research Objectives: AI Innovation (Taxonomic Identification): Developing and optimizing deep-learning architectures (e.g., YOLO) for the automated detection and classification of nocturnal
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working in a pan-European collaborative project (RADICAL-CDG) funded by the European Rare Diseases Research Alliance (ERDERA). Coordinated by Prof Matthijs, this consortium of 18 partners in 8 countries has
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this project, you will investigate the optimal conditions and underlying mechanisms of Imagery Rescripting, a treatment aimed at alleviating distressing memories. You will begin by examining how
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@plymouth.ac.uk) 3rd Supervisor: Prof. Shangming Zhou (shangming.zhou@plymouth.ac.uk ) Industrial Partner: This project is partly funded by Advanced Micro Devices (AMD) . AMD is a leading global semiconductor
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student who would like to optimize the use of real-world data (RWD
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surgery patients Duration: 36 months Supervisor(s): Prof. Christian Stoppe / Prof. Tilman Grune Enrolment in a Doctoral Program Project description: The goal of the is project is to evaluate the feasibility
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embedding longevity, material efficiency, and realistic performance limits from the start. This project develops a pioneering methodology for data-driven optimization of next-generation material systems. You
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industry in both acoustics and solar energy. You will gain expertise in experimental acoustics, advanced numerical modelling, sustainable building technologies and performance optimization. Are you motivated