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-driven Proteoform-based Drug Repurposing for Targeted Cancer Therapies DC11: RNA Methylation Gain as a Mechanism of Resistance to Therapy in Myelodysplastic Syndromes DC12: Optimization and Preclinical
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practical applications of advanced machine learning techniques. Emphasis will be given to theoretical approaches in machine learning for real-world applications, with a preferred focus on optimization, data
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time
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are important in our work: geometrical optics, ray tracing, (numerical) PDEs, transport theory, nonlinear optimization, Lie operators and Hamiltonian systems. PhD vacancy As part of the research program Optical
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, thrive in a dynamic environment, and want to be part of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https
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of the urban soil/subsoil in Amsterdam required for optimal tree growth. Ecosystem services include: storing water in the unsaturated zone; draining water via groundwater; sequestering carbon; filtering and
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about their climate impact. Tasks: Research Objectives: Definition of a suitable interface region based on the results from other IRP. Numerical analysis of the emission propagation in the near field
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transactions are properly accounted for in Banner, the Universitys Accounting System of Record. The position develops financial and billing interfaces for numerous clinical programs which incorporate grants
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, because the patient becomes a source of ionizing radiation during surgery, this technique raises important radioprotection concerns that must be addressed in optimizing the clinical protocol. Monte Carlo