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The School of Informatics, University of Edinburgh invites applications for a postdoc to undertake novel research at the intersection of computer vision and machine learning. The candidate will be
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EPCC at the University of Edinburgh is the UK’s leading centre for Supercomputing and Data Analytics. We are seeking a Data Architect to work as technical lead in maximising the capabilities
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computer science, with a focus on data management, distributed systems, machine learning, or related fields. Previous coursework or experience (e.g., thesis) in one of these areas is desirable. Proficiency in
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for the high throughput control of computations and analysis of results. Structure prediction will be performed using the AIRSS and EDDP (machine learning potential) packages, and prior experience in structure
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signal processing or machine learning technologies will be considered, as well as specific technical challenges. For example, projects in this theme will consider aspects related to: wide area motion
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University, University of Edinburgh and Leonardo. We are pleased to invite applications for a PhD studentship to work as part of a leading team of experts. This studentship will be supported by an enhanced
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) the Computation challenge: To create new signal processing & machine learning methodologies that enable intelligent, digital & connected sensor products while mitigating the data deluge from the multiple sensors
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the Advanced Care Research Centre (ACRC) at The University of Edinburgh and be at the forefront of innovative solutions for promoting healthy ageing and future care for people in later life. You will
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Deadline: 31 March 2024 (or until position is filled) One fully funded PhD position to work with Dr Adriana Sejfia in the School of Informatics at the University of Edinburgh, on a project titled
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PhD Studentship: Molecular Simulations and Data-driven Modelling for Polymer Nanocomposite Membranes
. The application of Machine Learning (ML) to estimate the properties of polymer membranes for gas separation, including solubility, diffusivity, and permeability is gaining traction. However, significant untapped