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the fellowship will be hosted by the Department of Mathematical Sciences (https://www.ntnu.edu/imf ). The project is a close collaboration with evolutionary ecologists from the Department of Biology
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, Montana. The USGS mission is to monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and
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mathematical and quantitative skills • Familiarity or experience with data analysis methods (e.g. use of Stata, R, Python, or Stata) • Ability to communicate complex information clearly • Excellent ability
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microscopy, image analysis: Development of microscopes, fluidics, and data analysis pipelines used to acquire and quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering
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, datasets, computational infrastructure and scientific networks. Applicants from machine learning, computer science, statistics, mathematics or related quantitative disciplines are encouraged to apply – prior
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general aim is to develop new conceptual frameworks and models for the study of biological complexity, focusing on the intersection of development and evolution. The research group is primarily theoretical
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Simons Collaboration on the Physics of Learning and Neural Computation | California City, California | United States | about 2 months ago
analysis from physics, mathematics, computer science, neuroscience, and statistics to understand how large neural networks learn, compute, scale, reason, and imagine. By studying AI as a complex physical
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, or related disciplines) Related Skills & Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis
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geometric topology; algebra, number theory and cryptography; dynamical systems; analysis and nonlinear/stochastic partial differential equations; mathematical physics. Outstanding candidates of all ranks will
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ranges from physics, chemistry, microbiology and mathematical modelling to social science, geography, economics and policy analysis. Both basic and applied research is conducted related to some of the