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fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot
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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
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mouse models. Experience studying the hypothalamus or neural regulation of metabolism. Experience with neural tracing techniques. Experience performing stereotaxic surgery in mice. Excellent
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Researcher in Numerical Modeling of Sea Ice We are seeking a highly motivated Doctoral Researcher to join our ice mechanics research group at Aalto University to work on collaborative project between Aalto
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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, empirical modeling and methods, and related areas. Preferred Qualifications Strong interest in international business and global /cross-border supply chain analytics and associated policies is highly desired
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cell biological and biophysical characterization of various alpha-synuclein aggregates/oligomers found in vivo (Mouse models and human tissue) that can induce neuropathology/neurodegeneration. 1
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. Research activities may include common- and rare-variant association studies, survival and longitudinal analysis, multi-state disease modeling, polygenic risk prediction, gene-environment interaction, cross
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immunology using both animal and human model systems. Along with the application, applicants should submit a Curriculum Vitae, Cover Letter and one-page statement describing their immunology and cellular
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The Nuclear Science Division at Lawrence Berkeley National Laboratory is seeking a Postdoctoral Fellow to work on the development of an inclusive electron-nucleus scattering cross section model