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Field
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ICFO is offering a postdoctoral position to outstanding, highly motivated scientists, who wishes to contribute advance technologies that drive the clean energy transition. In particular, we seek to develop novel strategies that contribute overcoming critical resource bottlenecks in energy...
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The University of Sydney was established in 1850 and is consistently recognised, both locally and internationally, for its outstanding teaching and research excellence. Sydney alumni include Prime Ministers, Governor Generals, Nobel Prize winners and leaders in every field of endeavour. The...
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, LROC, ROC, Image perception, mathematical/computational observer models. Both experimental and computational positions available. Skills preferred include any of these: Monte Carlo simulations, benchtop
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-channel electrophysiology •Any prior work in mathematical models of decision-making •Prior work with psychiatric patient populations or the biological mechanisms of mental illness About the Department
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Physics / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara Position overview Salary range: A reasonable estimated full-time rate for this position at 100% time is
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large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation
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not required as part of this position. Required Qualifications: Strong mathematical background, including expertise in one or more of the following areas: machine learning, statistics, and algorithms
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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, mathematics, physics, or a related field. The ideal candidate should demonstrate a record of publications in the area. Strong knowledge in machine learning, statistics and programming skills (R, Python
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analytics in the areas of health care, social issues, text, and social media, and faculty members have developed key methodologies in data mining, social-network analysis and mathematical optimization