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focuses of this role are in the areas of acoustics, signal processing, algorithm development, modeling, data analysis, and software engineering with an interest in undersea systems. You will join a team of
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and then accessed by a team of experts. We are seeking candidates to address these challenges that range from algorithm development, simulation of reference data, algorithmic accuracy evaluations, design of
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algorithms Perform data analysis, test and debug software Develop, implement and execute plans and tests Design and apply basic data sources and security practices Employ source code control techniques Assist
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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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, development of algorithms, statistical methods or scientific software, working with large image data volumes, biological/medical imaging preferred. Proven performance in earlier role/comparable role
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, and algorithm design for inferring conclusions from multiple sources of information. Uncertainty quantification and propagation is vitally important such autonomous workflows, as is the development
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computational approaches to research, such as more effective algorithms, programming methods, software tools, and underlying systems; and evaluates findings to develop new concepts, methods, processes or systems
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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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at the Intersection of Information, Society, and Methodology (PRIISM) is seeking a part-time senior research scientist to support the Algorithms, Data, and Public Policy Technology (ADAPPT) Lab’s applied research
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strategic leadership for diagnostic stewardship, policy development, and enterprise-wide utilization standards. Design and promote evidence-based, algorithm-driven testing pathways to reduce low-value