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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
with a team of engineers, snow scientists, and forest ecologists within the ESRC/EOS at the University of New Hampshire. The appropriate candidate will have cutting edge knowledge of machine learning and
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predictive machine learning models for track and vehicle degradation using cutting-edge deep machine learning, and will integrate these into MoniRail's real-time monitoring system to deliver intelligent, data
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non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to
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KTP Associate in Machine Learning ( Job Number: 25000811) Department of Computer Science Grade 7: - £39,105 - £43,878 per annum Fixed Term - Full Time Contract Duration: 30 months Contracted Hours
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. The objective of this thesis project is to develop hybrid models that integrate electrochemical principles with machine learning techniques to analyze data from electrolyzers, predict performance, assess lifespan
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Learning Center Department: NW Campus Learn Center Campus Location: Northwest Campus Employee Classification: ISP - Instructional Sup Position Type: PT - Regular Grant Funded: No Compensation Details
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combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour
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Learning Center Tutor Department: NE Campus Learn Center Campus Location: Northeast Campus Employee Classification: ISP - Instructional Sup Position Type: FT - Regular Grant Funded: No Compensation Details
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to explore and commercialize innovations at the intersection of AI systems and machine learning, with a goal to spin out a deep-tech startup. This is a unique opportunity for someone with both technical
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at the intersection of AI systems and machine learning, with a goal to spin out a deep-tech startup. This is a unique opportunity for someone with both technical expertise and startup ambitions to be part of a venture