Computational Biology PhD - University of California, Berkeley.

Computational Biology Evolution Genetics Population Biology Human genetic and cultural evolution, mathematical biology, demography of China population genetics Hunter Fraser.

Computational Biology and Bioinformatics are practiced at different levels in many labs across the Stanford Campus. The best reason to take up Computational Biology at the Stanford Computer Science Department is a passion for computing, and the desire to get the education and recognition that the Stanford Computer Science curriculum provides.

Computational Biology - New York University.

Stanford Artificial Intelligence Laboratory - Computational Biology Founded in 1962, The Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice for over fifty years.A computational biology track is available for students interested in biomedical applications. The program prepares students for careers in academic, financial and government settings as well as for study in graduate or professional schools.The Immunology doctoral program offers instruction and research opportunities leading to a Ph.D. in Immunology. Two tracks are offered: Track 1: Molecular, Cellular, and Translational Immunology; Track 2: Computational and Systems Immunology; The goal of the Ph.D. Program in Immunology is to develop investigators who have a strong foundation in Immunology and related sciences in order to.


Biomedical Computation Computational methods and tools are key driver of advances in biology and medicine in the 21st century.The Biology Department is at the center of life sciences research at Stanford. Our mission is to lead in understanding life, from molecules to cells, and organisms to ecosystems. The Biology faculty are committed to excellence in research and education, and are proud of the outstanding students and staff who make this possible.

The Stanford Structural Biology Graduate Home Program emphasizes research training, with coursework covering quantitative approaches to biology. Department research tackles biological problems at the atomic level, using structural and biophysical methodologies to explain both function and disease.

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We design state-of-the-art mathematical and computational models and algorithms. We advance disciplinary fields by designing and improving computational approaches in collaboration with engineers and scientists. We train students and scholars in mathematical modeling, scientific computing, and advanced computational algorithms. We build communities for fundamental and applied research in.

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The program trains students and scholars from across Stanford in mathematical modeling, scientific computing, and advanced computational algorithms at the undergraduate and graduate levels. Courses typically provide strong theoretical foundations for the solution of real world problems and numerical computations to facilitate application of mathematical techniques and theories. Training.

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The Biomedical Informatics Program is an interdisciplinary graduate and postdoctoral training program, part of the Department of Biomedical Data Science. Our mission is to train future research leaders to design and implement novel quantitative and computational methods that solve challenging problems across the entire spectrum of biology and medicine.

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In the Department of Biology and within the Center for Genomics and Systems Biology, a rigorous curriculum has been developed to train future computational biologists in the areas of genomics, mathematics, statistics, and computer science.

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Stanford chemists are developing new computational tools and theories that allow atomistic dynamic simulations of complex chemical and biological systems that enable understanding of living systems with molecular level resolution.

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About the Program Under the auspices of the Center for Computational Biology, the Computational Biology Graduate Group offers the PhD in Computational Biology as well as the Designated Emphasis in Computational and Genomic Biology, a specialization for doctoral students in associated programs.

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The Center supports social science research by using computational techniques to analyze big data. Today huge amounts of data are available to use for research on human behavior: website clicks, medical records, social media data. This data can be used to address larger societal issues of inequality, healthcare, education, democracy, and more. Read our publications. Sign up to get funding and.

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The Chemical and Systems Biology Graduate Program trains students to explore the function of complex biological systems at a quantitative and molecular level. Research in our laboratories combines state-of-the-art approaches from chemistry, biochemistry, cell biology, genomics, computational modeling, and other disciplines to understand cellular and organismal physiology, predict emergent.

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We propose three inter-connected Research Projects that focus our scientific theme on different platforms: murine models (Project 1), high-dimensional in-situ imaging (Project 2), and integrative computational analysis (Project 3). All three projects will utilize a shared resource core dedicated to the acquisition of patient samples and associated clinical annotation and data management.

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