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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and modeling. Familiarity with rheological characterization techniques, such as rheometry or viscometry
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to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and
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algorithms and program Building Automation System (BAS) computers in close coordination with the Director of Systems/Energy Engineering. Modify existing, and create new BAS object definitions, based on control
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. The researcher will utilize machine learning and AI techniques to analyze data and contribute to the development of predictive models. This position offers a unique opportunity to gain hands-on experience in
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Estimation. The research includes the following activities: • Develop algorithms and research directions to improve state estimation of polar ice caps (Greenland/Antarctica) • Calibration/Validation of high
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with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do – development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion
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of function. We have NIH-funded and industry-sponsored projects to develop, validate, and apply computer-based models of electrical stimulation of peripheral nerves to design improved therapies. The successful
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will learn machine learning methodologies and assist in developing algorithms for real-world applications, including health monitoring and diagnosis. The role also required attending weekly meetings
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand