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Mathjobs.org | about 1 month ago
Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning 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 methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
sustained impact, as articulated in the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our
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Mechanotransduction — investigating how mechanical forces from focused ultrasound alter immune cell function and tumor microenvironments Acoustic tool development — designing next-generation transducers
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and training for more than 260 students, and more than 300 physician residents and fellows annually. UICOMP healthcare partners include Jump Simulation, a world-class leader in healthcare simulation
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institutes in Europe, Asia, and North America. More information about the Division of Heat Transfer can be found here: https://www.ht.energy.lth.se/english/ COMPEL, "COMPetence for the ELectrification
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environment, the postdoctoral researcher will develop and apply advanced simulation techniques, and data-driven approaches to explore complex biophysical phenomena at the cell membrane. This role
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environment, the postdoctoral researcher will develop and apply advanced simulation techniques, and data-driven approaches to explore complex biophysical phenomena at the cell membrane. This role
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environment, the postdoctoral researcher will develop and apply advanced simulation techniques, and data-driven approaches to explore complex biophysical phenomena at the cell membrane. This role
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experience with the Chemical Master Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with