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Field
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networks, and effects of microbiome-modulating strategies Apply state-of-the-art microbiological methods (aerobic/anaerobic culture, quantitative assays, imaging/analytics as appropriate) and coordinate
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construction, data harmonization, statistical analysis, and reporting. Mentoring and professional development The postdoctoral associate will participate in regular one-to-one meetings with the PI, weekly
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quantum magnetism and strongly correlated systems, as well as classical methods such as exact diagonalization, tensor networks or DMRG, and quantum Monte Carlo. Familiarity with inelastic neutron scattering
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
. The Water Institute includes core faculty and staff, researchers, and a network of experts and adjunct/affiliated faculty members that lead and drive research on areas related to access to safe drinking water
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. The Water Institute includes core faculty and staff, researchers, and a network of experts and adjunct/affiliated faculty members that lead and drive research on areas related to access to safe drinking water
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
. The Water Institute includes core faculty and staff, researchers, and a network of experts and adjunct/affiliated faculty members that lead and drive research on areas related to access to safe drinking water
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. The position involves data analysis, model development, use of AI/ML tools for both understanding the mechanisms governing long-term performance of polymers and composites and translating findings into practical
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
networks, and computational modelling. Within the Department, we maintain strong synergies with the Neural Computation Group (PI: Andrej Bicanski ), which develops mechanistic computational models of brain
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via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear algebra. Applications of interest are transport