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Field
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preservingmachine learning. Strong communication and writing skills; ability to work both independently and as part of a team. About the team The DATA team develops foundational mathematical and algorithmic
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) for algorithm development, control design, and data analysis. Confidence and interest in testing and iterating technology together with patients, in the lab and in the clinic. Excellent organizational and
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. You will work on Vitrum, an ambitious Innovate UK-funded collaborative project developing a commercially deployable, fully dexterous robotic harvester for on-the-vine tomatoes. The project addresses one
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wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python) for algorithm development, control design, and data analysis. Confidence and interest in testing and
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communications that are viable, efficient and compatible with physical and human reality. Our work is based on mathematical and computer theories for the development of models and algorithms, validated by hardware
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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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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 10 days ago
, studying atmospheric responses to episodic events, comparing ground-based observations with satellite datasets and atmospheric models, and developing new retrieval algorithms. Field of Science: Earth Science
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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