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Field
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over 1400 PhD students & post-docs. Our purpose is to amplify the human potential by fostering breakthrough ideas with interdisciplinary AI research and enabling the path from science to society. We
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build reliable, reproducible data flows for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely
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pathogens in parallel, but we focus primarily on Klebsiella pneumoniae and Mycobacterium tuberculosis. You will be joining a collaborative environment that supports mentoring, skill-sharing, and growth, with
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
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Recognised Researcher (R2) Positions PhD Positions Country Poland Application Deadline 15 Nov 2025 - 23:59 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date
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BBSRC Yorkshire Bioscience DLA Programme: Mechanical microenvironment as a regulator of ribosome biogenesis and cell growth School of Biosciences PhD Research Project Competition Funded Students
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Trinity Laban Conservatoire of Music and Dance | London, England | United Kingdom | about 1 month ago
for January 2026 entry is 1 October 2025). Research Context PhD proposals must focus on the interactions and parallels between Indian and Western artforms and explore the intersection of Western and Indian
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summarised by the following keywords: electrical energy, materials, innovative processes and systems, modelling and design. With over a hundred permanent staff, around a hundred PhD students and 70 other
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA