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-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying interactions across interventions. MIXTAPE engages a multidisciplinary team from
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microtome Performance of functional assays and microscopic analyses for computer-assisted modeling of liver and heart metabolism Knowledge of pluripotent stem cell cultivation is desirable In
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Methods in Teaching and Learning in Archaeology. Stapleton, C. & Davies, J. (2011). Imagination: The third reality to the virtuality continuum. IEEE International Symposium on Mixed and Augmented Reality
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, particularly STEM and FIB methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy-related nanomaterials and catalysis is highly desirable. • Professional
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information science. Good knowledge of mathematical and theoretical physics methods of describing random processes and random fields. Experience with analytical and/or numerical methods for modelling qubit dynamics
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and analysis methods. Preferred Field of Expertise: Publications in peer-reviewed journals in the same or related field. Skills: Other: Analysis Assessment/evaluation Communication -- written and oral
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for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be potential
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Carolina, US Hiring Range Dependent on experience and/or qualifications Proposed Start Date 11/03/2025 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher
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. The topic of this Postdoc position is the development of data-driven methods to estimate river streamflowusingsatellitealtimetry. Particularly, the Postdoc willexplore hybrid deep learning models
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Research / UC Santa Barbara Position overview Position title: Postdoctoral Researcher in Applied Environmental Economic Modeling Salary range: A reasonable estimate for this position at 100% time is $69,703