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. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health, bio-signal processing, and wearable
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) strategies, primarily revolving around interpretable ML and generative AI, to study complex biological processes. This project combines timely analytical challenges with deep rooted applications in life
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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landscape design to influence global climate-system dynamics. Martin Bechthold, Material Processes and Systems (MaP+S) Group: The MaP+S Group advances knowledge about design materials through a combination of
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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language models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex
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and their home countries. Job Overview The University of Cincinnati, College of Engineering and Applied Science invites applications for a Postdoctoral Research Fellow position in biomedical imaging
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partner/stakeholder sites. [Technical candidates] Design and develop prototype and testbed systems that will be deployed to community partners and stakeholders. All candidates will be expected to support
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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quantum technologies since 2014 and now leads the UK Quantum Technology Research Hub in Sensing, Imaging and Timing (QuSIT). Bringing together academic partners from seven universities, the British