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the complexation process. In parallel, these systems will be evaluated as organocatalysts, with the ultimate goal of achieving highly enantioselective transformations. Candidates should hold a PhD in chemistry and
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protocols. In parallel, you will forge your results into a reference design, construction plan, and parametric cost estimate. Delivery of this study, currently slated for late 2028, will set a cornerstone
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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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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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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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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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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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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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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