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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
the LabVIEW programs and Python algorithms that run those systems. Develop, review, and update standard operating procedures for Chase Lab equipment and facilities. Develop effective policies for shared use
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systems strong analytical and problem-solving skills fluency in English, both written and spoken Not required, but helpful: Experience with biomedical data/algorithms An affinity for applications
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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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discoveries in gene regulation, immune variation, disease mechanisms, and functional cell states. Lead analyses that directly enable first-author publications, with multiple manuscripts already under review
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leverage their expertise to develop innovative algorithms for data analysis. Additionally, they will be responsible for communicating their findings to the scientific community through academic meetings and
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, boosted by AI-data augmentation for extrapolating spectrum patterns from multiple sources. To design a scalable computing framework using a physics-informed neural network for distributed spectrum analysis
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Not required, but helpful: Experience with biomedical data/algorithms An affinity for applications of technology Contributions to open source projects This is what we offer A temporary contract for 38
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work with Ayan Paul at EAI and is expected to develop AI algorithms for drug discovery with a combination of public and proprietary data, develop AI algorithms for variant effect prediction with models
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algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and communication
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enabling precise and rapid identification of adulteration. Spectral techniques generate unique chemical fingerprints of food items, which machine learning algorithms analyse to detect inconsistencies and