2,520 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"DIFFER" Postdoctoral positions
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before starting—in computer science, electrical or computer engineering, information science, or a closely related discipline. Less than 5 years post receiving the Doctoral degree. Meet the mandatory
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ecosystems. We seek an outstanding researcher who already has a demonstrated record of publishing rigorous work in leading AI, NLP, Web, computational-social-science, human-computer-interaction, or
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Engineering Energy Conversion Engineering Computational Science and Engineering Materials Engineering and Manufacturing Geological and Environmental Systems Program Execution and Integration To learn more about
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collaborations, market and regulatory analysis, technology transfer, and more. Click through to learn more about each area: Strategic Systems Analysis and Engineering Energy Conversion Engineering Computational
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with public and private data sets (e.g., O*NET and Lightcast). A computer science background and the ability to build data pipelines are a plus, as well as fluency in modern AI tools. This position
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
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direct biomedical relevance. We are embedded in both the VIB Center for AI & Computational Biology —a young, ambitious center whose research groups address biological questions through the lens of AI—and
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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ideal for someone who enjoys working at the intersection of data science, machine learning, materials research, and experiment, and who is motivated to translate computational advances into real