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analysis and machine learning methods applied to protein structure determination using single-particle cryo-electron tomography (ET). The candidate will contribute to the design, development, and
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analysis using appropriate machine learning techniques and contribute to the writing of technical papers and research proposals. Duke is an Equal Opportunity Employer committed to providing employment
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, United States of America [map ] Subject Areas: Engineering / Software Engineering Computer Science / Computer Games , Computer Graphics , Education and game design , Game Design , Game Theory and Economics , gaming
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applications for the position of Adjunct instructor to teach in the Masters of Management Studies (MMS) program for the Fuqua Client Consulting Practicum (FCCP) in the 2025/2026 academic year. This position
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scientific machine learning in solving problems in solid mechanics and dynamic wave propagation, in particular: (i) developing domain decomposition methods, (ii) damage models, (iii) nonlinear mechanics. 2
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
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, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or paper documentation tools
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skills · Proficiency in Microsoft Excel · Ability to learn quickly and communicate effectively · Excellent organizational ability and attention to detail · Ability to manage time well and prioritize tasks
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seeking a Non-Regular Rank Adjunct Professor to teach Masters-level cybersecurity classes. The ideal candidate will have commitment, passion, and excellence in teaching. This position would teach one class
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, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Ability to document and communicate pertinent information using computer and/or paper