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Field
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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens
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Biology is desirable. Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Baylor College
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national center for biodiversity information. Among other things, Naturalis runs large-scale ML services for nature recognition, including bioacoustics algorithms developed in the team. What you will do
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) as part of the ACORN IAA and is for 12 months. The researcher will develop visual mapping and change detection algorithms
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for cardiometabolic disease with associated neurodegenerative conditions. It aims to develop novel deep learning algorithms, audio and vision transformers, and hybrid attention mechanisms, to detect
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navigation, trajectory planning, and point cloud mapping; and (3) deploy the developed algorithms on a physical mobile robot operating in GPS-denied, low-light, and geometrically repetitive environments
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MR pulse sequences on Siemens platforms for quantitative imaging. Develop, adapt, and evaluate modern reconstruction algorithms for accelerated and robust qMRI. Collaborate with a multidisciplinary
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system stability. Candidate will also develop robust control strategies for inverter-based resources, and conduct hardware experiments and hardware-in-the-loop testing to validate the control algorithms