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Field
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AI systems for real-time 3D mapping on compact, low-power devices. The project will combine optical sensing, event-based vision, and radio-frequency (RF) data with advanced AI to build robust mapping
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the candidate completing 70 hours of teaching per year during the initial 3 years. The pan-University Graduate School offers an integrated training programme to the postgraduate community within a single centre
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will aim to go significantly beyond the state-of-the-art; A world-class, dynamic and stimulating work environment with state-of-the-art instrumentation and computing facilities (see also http
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Application deadline: 31/08/2026 Research theme: Mettalurgy How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) students. The successful
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
-time Hours Per Week 40 Offer Starting Date 29 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 14/2026/IGC/PSD Is the Job related to
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Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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computational methods with a particular focus on deep learning and image analysis. The project relies on a close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP
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to address key experimental and computational challenges currently limiting the clinical translation of spatial biology. By integrating multi-omics approaches, enabling the transition from 2D to 3D tissue