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Field
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-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow
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Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep
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Sheffield to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will
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-phase chemistry coupled with solid-phase reaction clean up using tethered reagents that enable pure compounds to be screened without further purification. These methods will allow the parallel synthesis
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screened without further cumbersome purification. These methods will allow the parallel synthesis and testing of ca. 100 compounds in a single operation, potentially taking less than a week to design
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funded through the EU Research Framework Programme? Other EU programme Reference Number TRB/2025/00048 - CISGUARD WITH NR. 21022 Is the Job related to staff position within a Research Infrastructure? No
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/or mixed-methods; no parallel enrollment in another PhD programme; fluent English language skills are a must; knowledge of Bulgarian is an asset; no previous contractual links to the IPS at any point
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of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant
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Application Deadline 27 Jan 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Position: Mechanotyping of Complex Cellular Systems We invite