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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Dependent on Experience and/or Qualifications Proposed Start Date 12/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative
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other field or laboratory instrumentation Apply appropriate behavioral, statistical, econometric, causal, spatial, machine learning, deep learning, computer vision, time-series, or mixed-methods
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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
$62,000- $70,000 Proposed Start Date 01/18/2027 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
$62,000- $70,000 Proposed Start Date 01/18/2027 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public
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extensive experience in the application of molecular dynamics simulations to molecular systems, ideally in both methods and applications. Experience in biomolecular simulations particularly nucleic acid
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Qualifications Experience with analysis of three-dimensional velocity fields Computer programming/scripting experience Experience with graph analysis and optimization methods Required License/Registration
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 minutes ago
motivated candidate with a strong interest in machine learning and clinical neuroscience. The lab studies resilience and vulnerability in brain aging and dementia, and builds computer-aided methods and tools
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the effects of new gene therapy-based treatments for acquired and genetic epilepsies. The main role is to perform in vivo studies testing minimally-invasive methods to deliver gene therapies in preclinical
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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Educational sciences » Education Educational sciences » Teaching methods Engineering