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CS&E Institutions

  • The Department of Applied Science (DAS) was established to provide interdisciplinary training and research resources for scientists who are as intrigued by innovative application of knowledge as they are by contributions in pure science. At DAS, you can make a contribution using the finest research tools on the planet.

    Within the department, there is a wide range of expertise within the faculty, which leads to a wide range of choices when it comes to graduate research. These choices include Atomic and Molecular Physics, Applied Bioscience and Biotechnology, Computational Science and Engineering, Laser Physics and Optical Science, Material Science and Condensed Matter Physics, Microwave and Millimeter Wave Electronics, and Plasma Science and Fusion Engineering. All of these areas are described in further detail on the following pages. It is important to note that all areas of emphasis include a core subject area in mathematical physics and at least two other areas. You can contact the graduate adviser for more detailed information on core subject areas and requirements.

    Website: UC Davis - Department of Applied Science Graduate Studies

  • Applied analysis and computation are essential to research in virtually every field of science and engineering. Modern engineering is, to a large extent, computational engineering. Computational and applied mathematics (CAAM) is the fundamental discipline that underlies practice and intellectual advancement in mathematical modeling, applied analysis, the development and analysis of numerical algorithms, and the implementation and dissemination of mathematical software. CAAM provides a key enabling technology for all aspects of computational engineering and numerical simulation.

    The CAAM faculty at Rice are leading researchers with international reputations. There are cutting edge research activities in inverse problems, discrete and continuous optimization, computational neuroscience, partial differential equations (PDE), PDE constrained optimization, and large scale numerical linear algebra. Our work is often highly interdisciplinary and involves interaction with all of the other departments within the School of Engineering.

    Website: Rice University - Department of Computational and Applied Mathematics

  • The University of Western Ontario Graduate Program in Scientific Computing aims to provide students from different disciplines with solid hands-on knowledge of how different computational techniques can be used in, for example, physical, biological and social sciences. The program consists of course work and research on the fundamental principles and techniques in computation in order for the students to be able to carry out computationally intensive work in their own field. The emphasis of the program is on the development of state-of-the-art methods and the application of these methods to real-world scientific problems. Examples include the development of algorithms, application of symbolic methods, high-performance computing, parallelization, data analysis and visualization.

    Website: University of Western Ontario - Graduate Program in Computational Science

  • Computational Science and Engineering: The Mechanics, Materials and Computing (MMC) program involves a coordinated blend of insightful modeling of mechanical phenomena with the development of appropriate computational methods. With mechanics, mathematics, materials science and engineering, and scientific computing as its foundation, it addresses the numerical simulation of a wide variety of physical phenomena with a view toward the analysis and optimum design of engineering systems. It also seeks to gain a better understanding of complex physical phenomena which are difficult, if not impossible, to study by alternative approaches. This approach to engineering requires that students develop a truly interdisciplinary set of skills. These can best be acquired by offering a degree in Computational Science and Engineering (CSE).

    Website: Carnegie Mellon University - Civil and Environmental Engineering

  • The Computational Systems Biology Lab (CSBL) currently consists of scientists with highly diversified training background, ranging from biochemistry, computational chemistry, molecular biology, biophysics, physics to computer science, statistics and mathematics.

    Our common interests are in development of computational tools for solving biological problems. Our work ranges from construction of mathematical/statistical models to development of algorithms to code implementation to applications of computational tools to solve various bio-data analysis and modeling problems.

    Website: University of Georgia - Computational Systems Biology Laboratory

  • The minor in Computational Science was created to provide an opportunity for graduate students in all colleges and majors to pursue a focused set of courses that emphasize all aspects of computational science. Computational science involves using computers to study scientific problems and complements the areas of theory and experimentation in traditional scientific investigation. This Minor would be a valuble program for almost any graduate student at Penn State.

    Website: Penn State - The Graduate Minor Program in Computational Science

  • The Computational Center for Fundamental and Applied Science and Education (CCFASE) unites investigators from five departments in the College of Science and Technology (CST) at North Carolina Central University, leveraging established strengths in computational research and education across the departmental disciplines.

    Our goal is to use computational science as a focus for developing strong interdisciplinary, integrative research activities and research-based educational training that enhances the existing undergraduate and graduate programs at NCCU, and to establish an infrastructure and level of student participation suitable to justify, both in student quality and quantity, the future establishment of Ph.D. programs, thus expanding the University’s ability to increase minority representation in the sciences.

    Website: North Carolina Central University - CCFASE

  • This program introduces students to the sophisticated high performance computing techniques required for the solution of cutting-edge problems in theoretical, computational and mathematical physics. Students will be able to develop skills to program parallel supercomputers using state of the art computer language and gain the mathematical and computational skills necessary to solve challenging problems at the forefront of physics. The program consists of core studies in physics, mathematics and computing science with an electrical engineering option in first year. Second year develops these areas of study further, with a focus on physics and applied mathematics, while third year involves advanced courses in physics. Students undertake the final year Honours program in theoretical physics which includes a research project plus specialised courses in computer science and mathematics, allowing students to underpin skills in high-performance computing.

    Website: The University of Adelaide - BSc in High Performance Computational Physics

  • The Computational Biology Service Unit at Cornell University (CBSU) is university core facility for computational biology and bioinformatics and part of Life Science Core Laboratories Center (CLC).

    The primary mission of the CBSU is to provide research and computational support for life sciences research and to implement new computational techniques in bioinformatics. The CBSU brings advanced computational tools and techniques to life sciences investigators, maintains and makes available significant computational infrastructure dedicated to bioinformatics, and facilitates biological research by providing core support in bioinformatics. The facility offers computational biology and bioinformatics resources and readily accessible advanced computational solutions with fee-for-services, project design and data analysis consultation, and with collaborative research with investigators. The facility provides informatics analysis pipelines for the data generated by the various CLC facilities (e.g., for next generation sequencing analysis). The CBSU also provides support for large scale multidisciplinary research projects in close collaboration with the genomics, proteomics, imaging and bio-IT facilities of the CLC.

    Website: Cornell University - Computational Biology Service Unit

  • The Center for Computation & Technology, or CCT, is an interdisciplinary research center located on the campus of Louisiana State University in Baton Rouge, Louisiana. CCT advances LSU’s Flagship Agenda and promotes economic development for the state by using computational applications to aid research and develop solutions that benefit academia and industry.

    CCT is an innovative research environment, advancing computational sciences, technologies and the disciplines they touch. Researchers at CCT use the advanced cyberinfrastructure –high-speed networks, high-performance computing, advanced data storage and analysis and hardware and software development – available on campus to enable research in many different fields. By uniting researchers from diverse disciplines, ideas and expertise are disseminated across LSU departments to foster knowledge and invention.

    Website: Louisiana State University - Center for Computation & Technology