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Field
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tSNE/UMAP clustering and trajectory inference to uncover novel immune cell states and mechanisms. Develops and optimizes new experimental protocols. Summarizes findings and contribute to manuscript
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candidate will develop innovative methodologies for data-driven analysis and process optimization, incorporating advanced modeling techniques and real-time analytics to enhance quality control and improve
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-performance computing. Additional experience in DNA biophysics, machine learning, and optimization is preferred. This job description intends to provide a representative and level of the types of duties and
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digestion), and should have documented capabilities using a variety of simulation and optimization techniques. Familiarity with electric power grids and rate structures is highly valued, as is experience with
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of species, including horses, cattle, pigs, rats, mice, sheep, and birds and to extend efforts at optimizing performance and health in humans and livestock. • Assist with writing grant proposals, manuscripts
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optimization of new quantum materials. Data Analysis and Interpretation Perform quantitative analysis of research data; Use statistical and computational tools to interpret results and generate insights; Present
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
training for study personnel in Malawi. Primary responsibilities include assay development and experimental execution including assay optimization, sample processing (collected from ongoing cohort study in
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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experiment, as well as in the commissioning, optimization, and development of analyses for the ALPHA experiment. The candidate is also expected to take a leadership role in JHU-based testing toward
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of deterministic and stochastic dynamical systems, optimal control, network models, and machine learning. Preference will be given to candidates with experience in these areas. The researcher will work closely with