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.
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 online papers, other resources, and to the Center for the Philosophy of Nature and Science Studies.
Home page of a theoretical neurobiologist at Swinburne University of Technology. Papers on theoretical models of the mammalian electroencephalogram and related lecture notes (medical imaging, physiological modeling).
The Ecology and Evolutionary Biology (EEB) Department carries out research in a wide range of areas across evolution and ecology. Areas of particular interest include molecular evolution, behavioural ecology, the dynamics of communities and populations, and conservation biology.
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 function. Includes publications list and information on software developed by the group.
The Program in Theoretical Biology has many diverse interests, including immunology and virology, the evolution of language, evolutionary genomics, epidemiology, the evolution of cancer and the evolution of cooperation and fairness.
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 complexity.
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.
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 spatial, multi-leveled models with many interacting entities whose behavior is determined by local information.
Focuses on competition and natural selection, more specifically evolutionary game theory, life history theory, sexual selection, sex allocation, metapopulation genetics, resource competition, and interference competition.
Department of Theoretical Biology. A do-it-yourself online course in 'methods in theoretical biology' and yearly organised online courses on the Dynamic Energy Budget (DEB) theory of the development and growth of organisms.