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Field
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, Concepts, and Reactors group (MatCoRe), so the successful candidate will be well supported. Additive manufacturing/3D printing and Net Zero are burgeoning areas, so the successful candidate will develop
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salary and remuneration package (including 41 days off a year and generous pension schemes). • Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources
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Positions Country United Kingdom Application Deadline 7 Jan 2026 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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private. This PhD will focus on three strands of work: 1) Innovate NILM model structures. Design efficient neural network architectures for both aggregator and client models that meet strict accuracy
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core stages: Data Integration and Preprocessing: Develop a scalable, automated pipeline to collect, synchronise, and merge heterogeneous datasets from sources including OpenFlights, OpenSky Network
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architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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-of-the-art laboratories and computing facilities • International and interdisciplinary research environment • Secondment of 3 to 12 months to other network partners or associated partners
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2 Fully Funded PhD Candidate positions in GENIUS MSCA Doctoral Network hosted at University of Derby
additional mobility and family allowance according to the rules for DCs in MSCA Doctoral Networks: Living allowance: 4010 euro/month (see section 1.1. of the MSCA Work Programme ). This amount is adjusted via
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mortalities, economic loss, and human health risks through contaminated seafood. A low-cost, deployable sensor network based on mussels could provide real-time environmental intelligence, supporting regulatory