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with Simulation-based Inference ), funded by the Multidisciplinary Institute for Artificial Intelligence (MIAI) through an AIforScience Research Chair. ADACSI will develop a multi-probe simulation-based
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developing innovative probabilistic methods to tackle fundamental problems at the intersection of spectral geometry, mathematical physics, and number theory. By exploring the geometry and spatial features
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support efforts to develop solutions that strengthen infrastructure, protect the environment and build more resilient communities. The Centre for Urban Solutions at School of Civil and Environmental
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. Project Title: Developing and Validating a Comprehensive Multi-Perspective, Accountable, and Explainable System of Standards for Learning Analytics and Artificial Intelligence in Education (CoMPA(I)SS
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and talented post-doc candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application
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affairs and project activity, working closely with colleagues across the five North East universities. This is an early-career opportunity for a recent graduate looking to develop experience in policy
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of Twente (LiSa – Lithium refining via Salt-Assisted Crystallization – ISPT). The LiSa project aims to develop an innovative low-carbon process for producing battery-grade lithium hydroxide from recycled
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expected to start as soon as possible. The successful candidate will carry out research as part of the EPSRC grant “Computable Manifolds”. The project is developing computable approaches to manifolds using
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by Professors Deborah Gill and Steve Hyde. You will be part of a multi-disciplinary team developing Lentiviral derived nanoparticles (LVNPs) to treat rare diseases and will be keen to participate in
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cancer research, with a particular focus on developing computational methods to analyze imaging and clinical data in patients with liver cancer Position Overview Machine learning and deep learning applied