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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
for Outstanding Mentorship, the MIND (Methods for Incomplete Neurological Data) Lab at UNC-Chapel Hill brings together biostatisticians and neuroscientists to advance methods that accurately estimate disease
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position in statistics, machine learning, and data science. The postdoctoral researcher will be mentored by Professor Yiyuan She and will contribute to the development of innovative statistical methods and
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CRSA - Postdoctoral position on high- resolution root zone soil moisture estimation by assimilation of microwave-derived surface soil moisture About UM6P: Located at the heart of the future Green
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, farm policy, data management, and econometrics is preferred. Responsibility for estimating production costs and profit margins, supply and demand equations, equilibrium quantities and prices
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of their career developing state-of-the-art statistical and mathematical methods to analyze epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of
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domain-independence with the goal of incrementally moving from a specific chemistry knowledge graph dedicated prototype to a domain-independent solution. Design a generic and declarative method for tool
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simulation methods, decision theory, uncertainty quantification, machine learning. Applications and areas of key innovation Image analysis, computer graphics, autonomous and assisted driving, 3D scene analysis
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Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine
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areas (i) Non-adiabatic chemical dynamics, (ii) Physics of charge transport in the solid state, (iii) QM/MM methods, (iv) Atomistic classical simulations of macromolecules (v) Biophysics. You can write
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stocks and equipment and be responsible for coordinating repairs when needed. Maintain laboratory records for experiments for publication methods and for others to repeat experiments. Correspond with other