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and Technical Acoustics is looking for a postdoc for the Swedish Research Council-funded SMILE project (Soundscape engineering with Metamaterial Innovation and LEarning). SMILE develops acoustic design
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/deep learning-based medical image analysis methods for computerised tomography scans (CT scans). Key applications of such ML/DL methods are illustrated by our prior research (PMIDs 33913675, 33234786
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical
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Post-Doctoral Associate/Associate Research Scientist in the Division of Science (Biological Physics)
100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning
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, predictive modeling, machine learning, and causal inference methods. Experience with claims-based or EHR-based phenotyping, variable construction, treatment pattern analyses, healthcare utilization studies
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include: Understand the extent of existing digital images of text, and how the information locked away in them would advance provenance understanding Acquire additional external data, such as the Getty
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) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as
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offers degree programs that train biomedical scientists, research scholars, and clinical dietitians. Faculty strive to implement active, team-based learning strategies in all programs to transition
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how