222 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S"-"Newcastle-University" positions in United States
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Field
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operates with significant independence while collaborating with cross-functional teams, managing multiple complex projects simultaneously, and providing technical leadership to junior developers. This role
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is seeking to hire a part-time (20-30 hours) research technician to support the development of an software algorithm for the project, “Measuring Ocular Pulse Amplitude with Fixed Force Applanation
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on her project, Development and Validation of Applanation Tonography, with development of an algorithm to assist in the validation of measurements. This will afford a mentoring/mentee opportunity to a Duke
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that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Identify suitable donor options for patients
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collection methods for external data (e.g. web scraping) to collect data for use in modelling and analysis. Develop analytic plans, engineer supporting algorithms, write new functions or applications in
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to develop advanced algorithms, parallel computing capabilities, and software engineering of Green’s function based multiple-scattering code for computing the electronic structure and energetics
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both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilize computational approaches to generate
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, and proficient in the Microsoft Office suite of products. * Ability to manage multiple projects in a fast-paced environment while maintaining accuracy of work. * Superior organizational skills - must be
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team to lead our efforts to improve quantitative image analysis in projects related to cell adhesion. This position will operate with a high level of autonomy and entails developing innovative
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years of related experience. Experience using Python for algorithm development, data science, and/or machine learning. Experience using JavaScript for front-end web development and visual data analysis