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Languages, Machine Learning, Data Mining, Data Processing, Statistics, artificial intelligence, parallel and distributed systems, cryptography, computer and network security, computer vision, image processing
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performance and portability through an informed implementation of parallel programming models and abstraction layers. - You will develop benchmarks and metrics to assess the performance, scalability, and
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with PhD students. Our research infrastructure is provided mainly by NAISS (National Academic Infrastructure for Supercomputing in Sweden) and C3SE (Chalmers Centre for Computational Science and
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with other parallel projects and industrial partners, which means that strong collaborative skills are necessary. The successful candidate is expected to be able to disseminate and communicate scientific
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Jackson and other colleagues at the Edinburgh Parallel Computing Centre. Your work would combine software and technique development which a focus on the processing of voluminous point cloud datasets (> 100
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teaching load of 2 classes per year. The position is for two years, and can be renewed for a third year pending satisfactory performance. Required Qualifications ● A PhD in Mathematics or an equivalent area
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circuits regulating discrete targets in the periphery, including stereotaxic injections, viral tracing, chemogenetics and fiber photometry. In parallel, this project also involves the analysis
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, manufacturing, logistics, assembly and test processes, and cleanroom protocols. In parallel, you will forge your results into a reference design, construction plan, and parametric cost estimate. Delivery
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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be