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parameter space, and using and/or developing agent-based models for the movement and behavior of fish in rivers. Presenting material at conferences, writing research papers for publication, and/or assisting
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for nutrients, light, temperature, the influence of zooplankton or more generally higher trophic levels, as well as other parameters such as parasitism and allelopathy, if possible. The model can build on
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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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1: Extension of the coverage and performance of the HLA-Epicheck model through the addition of new antigens. This also includes optimizing the values of certain model parameters. Task 2: Evaluation
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of the chemicals on droplet stability. You will be responsible for the following: Implementing AI imaging to analyze high-speed droplet movies. Relating the results to the HLD principle and performing its parameter
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the necessary interface between the computer and the neural network of the human retina in vivo – without introducing additional modifications to our organisms. Such an interface could, in turn, be developed
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, developing and numerically solving diffusion reaction equations, parameter estimation, machine learning, and sensitivity analysis, with an emphasis in building open-source technologies that benefit the entire
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Range $60,000-$70,000 annually Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and
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determination of inversion parameters. 2. Vp and Vp/Vs tomographic inversion, analysis and interpretation of results (Vp/Vs in relation to Vp and seismicity). 3. Participation in events (workshops, conferences
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with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation Implementing machine learning approaches that preserve physical constraints while handling