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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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obligatory requirements: Advanced knowledge of 3D modeling and experience in areas relevant to the project. Availability is valued The proof of enrolment must be made until the contract signing date, and the
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also present the following obligatory requirements: Advanced knowledge of 3D modeling and experience in areas relevant to the project. Availability is valued. The proof of enrolment must be made until
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SEAMPHONI project, funded by Horizon Europe, aims to deliver a novel, integrated, and innovative mapping, monitoring, modelling, and management system for offshore marine areas (OMAs). A key feature of
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and environment can be part of the role, including performing in vitro and, where necessary, in vivo (animal models) studies in preparation of potential first-human studies. For this purpose, there will
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 16 days ago
expertise in optical instrumentation, measurements on complex systems, data processing, and physical modeling. Strong knowledge of physics and algebraic calculus. Proficiency in programming complex
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(e.g., hardware trojans, side-channel exposure). Co-develop testbenches for hardware simulations and chiplet-level threat modelling. Collaborate closely with FPGA and IC prototyping teams to deploy AI
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the computational models using benchmarks and experimental results while assessing and improving the performance of algorithms on high-performance computing (HPC) clusters. This is a fantastic opportunity for you to
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mixed-methods approach, including quantitative and qualitative data collection, fidelity assessment, and economic modelling. The Research Fellow will work closely with project partners (i.e. Bolton City