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Random Variations to Biological Choice |
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Santa Fe Institute (Popularity: ): SFI draws scientists from universities and research institutions world-wide to pursue broad research problems. Much of the work focuses on the science of complexity (emergence), which examines underlying patterns and ...
Theoretical Biology and Biophysics (T-10) (Popularity: ): The Theoretical Biology and Biophysics Group (T-10) at Los Alamos National Laboratory focuses on the modeling of biological systems and the analysis and informatics of molecular and cellular biological data.
Claus Emmeche (Popularity: ): Home page of a theoretical biologist with general interests in Philosophy of Nature, Philosophy of Science, and Science Studies, and research interests in artificial life and theoretical biology. Links to ...
Honig Lab at Columbia University (Popularity: ): Research combines computational biophysics and bioinformatics to aid in understanding the structural, physical, and chemical basis of a wide range of biological phenomena, with a focus on protein structure and ...
Molecular Information Theory (Popularity: ): The theory of molecular machines from the NIH Laboratory of Computational and Experimental Biology.
Short Courses on the Mathematics of Biological Complexity (Popularity: ): Three short courses will be held at the University of Tennessee to give biologists a rapid introduction to the mathematical and computational topics appropriate for understanding current research in biological ...
Careers in Theoretical Biology (Popularity: ): Guidance brochure for high school and undergraduate students. Defines theoretical biology, gives examples of its application, and provides advice on preparing for a career in the field.
University of Vienna (Popularity: ): Department of Theoretical Biology. Research groups and resources.
University of Lund (Popularity: ): Department of Theoretical Ecology. Members, teaching and research.
Theoretical Biology at Utrecht University, Netherlands (Popularity: ): Formal models in ecology, spatial pattern formation, (molecular) evolution, immunology, and ethology. Formalisms range from mathematical models, cellular automata, genetic algorithms, to discrete-event individual-oriented simulation models. Bioinformatic approach typically involves ...
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