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Post Doctoral Researcher, Electrical and Computer Engineering Apply now Job no: 501817 College / VP Area: College of Engineering Work type: Staff Location: Newark, DE Categories: Research
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Resources at 479.575.5351. Department: Graduate & Hourly Employees Department's Website: EECS Department Website: https://engineering.uark.edu/electrical-engineering-computer-science/ Artificial
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View more categories View less categories Academic Discipline Biological Sciences , Computer Science , Engineering & Technology , Physical Sciences , Life sciences , Electrical & Electronic
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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). The position is hosted by the Multi-energy System Planning and Operation Research Group at Aalto University School of Electrical Engineering . The research will focus on the modelling, optimization, and
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representative papers led by dry-lab scientists in our lab (listed as first author), with strong ML/AI components include: https://www.biorxiv.org/content/10.64898/2026.03.04.709438v2 https
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observational data of non-CO 2 greenhouse and ozone-depleting gases (e.g., N 2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods
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observational data of non-CO 2 greenhouse and ozone-depleting gases (e.g., N 2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods
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Materials Design and Innovation Posting Number R260134 Posting Link https://www.ubjobs.buffalo.edu/postings/64174 Employer Research Foundation Position Type RF Professional Job Type Full-Time
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perception built with machine learning. They will build on the lab's expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically