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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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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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. The position will focus on developing computational algorithms and tools for the analysis of mass spectrometry-based proteomics data. Research projects will center on advancing the FragPipe computational
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position is available in the group of Prof. Alexey Nesvizhskii at the University of Michigan Medical School. The position will focus on developing computational algorithms and tools for the analysis of mass
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
collaborate closely with Professor Colin Meyer at Dartmouth College to develop new models of polynya dynamics, efficient algorithms for inversion of surface signatures, and deeper understanding of controls
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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on greenhouse gases, air quality, and emerging satellite missions. Key responsibilities include developing and evaluating remote sensing methodologies, including designing algorithms to detect and quantify marine
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, echocardiography, and/or MRI/CT imaging analysis in pediatric and fetal populations. • Co-lead the development and validation of AI/ML algorithms for fetal cardiac ultrasound image analysis and CHD subtype
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-computer interaction. The ideal candidate will have a strong foundation in algorithms, HCI, and software engineering, and will contribute to the design, development, and evaluation of interactive and
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, echocardiography, and/or MRI/CT imaging analysis in pediatric and fetal populations. • Co-lead the development and validation of AI/ML algorithms for fetal cardiac ultrasound image analysis and CHD subtype