20 algorithms-"Multiple"-"NTNU---Norwegian-University-of-Science-and-Technology" Fellowship positions in United States
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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
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from multiple disciplines and institutions. RESPONSIBILITIES: Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused
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(for full consideration) The Center for Data Science for Enterprise & Society at Cornell University seeks to recruit multiple candidates to be hired as Assistant Research Professors or Postdoctoral Fellows
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
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multiple candidates to be hired as Assistant Research Professors or Postdoctoral Fellows; these are 3-year non-tenure-track positions that are funded through the Center with support from the College
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. Of particular interest is the modeling of transport networks across multiple scales, including their function, development and remodeling. We employ advanced computational and theoretical techniques, such as
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provide insights into comparative physiology across different species. Of particular interest is the modeling of transport networks across multiple scales, including their function, development and
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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in artificial intelligence (AI) for settings involving multiple interacting decision-makers---whether autonomous AI agents, humans, or a combination of both. Applications include mixed-autonomy
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and