278 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U"-"Newcastle-University" positions in United States
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engineering systems analysis/optimization, or computational algorithms § Familiarity with multiple computer languages, including Python. § Ability to develop prototypes of tools needed to analyze data. Â
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data and developing the algorithms and tools that enable the work of their team. Thus, the ideal candidate for this position must have a biological background, the ability to translate scientific
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climate events in the Western US. CW3E is developing and implementing weather and climate observations, numerical models, machine learning algorithms, and decision support tools focused on atmospheric and
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology
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, and visualization techniques to assist with the development, evaluation, and/or applications of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data
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Benefits . Position Summary The position contributes to the conceptualization, design, development and delivery of biomedical informatics research projects, addressing all areas of clinical and translational
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developing an AI machine learning algorithm to analyze how experimental parameters ( 3D printing and electrospinning) affect the design. Work with PhD students in data collection (physical and mechanical
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, research website maintenance, clinical coordination in experiments, group meeting minutes organization Aiding in developing an AI machine learning algorithm to analyze how experimental parameters ( 3D
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, research website maintenance, clinical coordination in experiments, group meeting minutes organization Aiding in developing an AI machine learning algorithm to analyze how experimental parameters ( 3D
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Bioinformatician at the intermediate or senior level. The Breuss laboratory is focused on employing and developing statistical machine learning, bioinformatic algorithms, and related approaches for the detection