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methods, risk and reliability, stochastic control processes, dynamic programing, deep reinforcement learning. Strong track record in scientific contributions supported by peer-reviewed publications. Strong
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neuromorphic, stochastic, reservoir and probabilistic computing, and on the physical realization of probabilistic p-bits, laying the groundwork for future quantum-inspired computing concepts. Frontier research
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optimization methods and/or efficiency analysis (DEA, stochastic frontier, dynamic optimization). Experience with production function estimation, panel data econometrics, and risk analysis. Familiarity with U.S
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Mathematics, Statistics, Epidemiology (human or veterinary), Public Health, Physics, Computer Science), and a history of productivity. Experience with stochastic simulation and model fitting to temporal and
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(STED) and Stochastic Optical Reconstruction Microscopy (STORM) Cryo-electron tomography Imaging data science and AI-based analysis A strong record of contributions to peer-reviewed research publications
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
, or ordinary/stochastic differential equations. • Experience in computational, statistical, or machine learning method development in any discipline. • Experience in analyzing high-dimensional data (biological
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of development stochastic models that explain the population behaviour of immune cells subject to controlled stimulation, you will collaborate in research that seeks to explain the weak inheritance features
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, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold
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for continuous and long-duration gravitational-wave signals, and is involved in stochastic gravitational-wave background studies. Research spans gravitational-wave astronomy, particle physics, and statistical
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of gene regulation, and transcriptional circuits including gene-regulatory networks, feedback regulation, and regulation of stochastic expression noise in multiple model systems ranging from viruses