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Field
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modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data
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application of advanced deep learning models, with an emphasis on techniques such as knowledge distillation. The candidate will engage in research involving time-series analysis, including modeling, forecasting
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
candidate will be experienced in mouse models of cancer with metabolic and cell signaling expertise. General laboratory duties will be assigned as needed. The translational research environment is cooperative
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Associates with expertise and/or interest in high temperature structural materials, additive manufacturing, non-destructive testing, multi-scale modeling and materials characterization. The ideal candidates
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under the guidance of his/her scientific mentor to investigate the interoception neuron circuit using the zebrafish model; independently designs new analytical approaches and tools; performs experiments
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behavior, welfare, or nutrition research. Previous experience/publications involving HPLC pesticide residue analysis or avian models. Special Instructions To Applicants: Notice to Applicants: Please make
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will investigate how neutrophils and platelets drive thromboinflammation, using confocal intravital microscopy, Luminex multiplex assays, gene knockdown and editing systems, animal disease models, and
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to ion beams with well-controlled energies and incident angles for benchmarking and validation of theoretical calculations and computational physics and chemistry modeling of important surface processes
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order