MICDE Fellowships Information Session
Zoom EventApplications for the $4,500 2024-2025 MICDE Graduate Fellowships will open May 1, 2024. Please join this Zoom session to learn more about the fellowships and how to submit a great application!
10 events found.
Events
Prospective Graduate Students
Events
MICDE / MIDAS Graduate Information Session
1100 North University Building - 1528The educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) These programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range […]
MICDE / MIDAS Graduate Information Session
Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United StatesThe educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) These programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range […]
Taking the Next Step: Graduate Studies in Computation/AI for Science and Engineering at U-M
GG Brown Laboratory - 2147PhD in Scientific Computing director Eric Johnsen will speak about opportunities for undergraduate or master's students seeking a graduate education in Computation and Artificial Intelligence for Science and Engineering at the University of Michigan. Food will be provided. Please register to attend.
Scientific Computing in the Physical Sciences information session
Weiser Hall - 170Learn about academic opportunities and fellowships for graduate students who combine Scientific Computing with Applied Physics, Astronomy, Biophysics, Chemistry, Earth and Environmental Sciences, Math, Physics, or any other physical science. This session will be offered in-person and on Zoom. Please indicate how you plan to attend when you register. Register to attend
Scientific Computing in the Biological and Health Sciences information session
Weiser Hall - 170Learn about academic opportunities and fellowships for graduate students who combine Scientific Computing with Biology, Kinesiology, Medicine, Pharmacy, Public Health, or any other biological or health-related science. This session will be offered in-person and on Zoom. Please indicate how you plan to attend when you register. Register to attend
Ph.D. in Scientific Computing Seminar Series
North Quad - 2185"Bridging Wavefunctions and Density Functionals: Unlocking Accurate Data for Functional Development" - Vaibhav Khanna (Chemistry and Scientific Computing)
"Turbulence transport and size segregation of shock-driven multiphase flows" - Archana Sridhar (Aerospace Engineering and Scientific Computing)
Ph.D. in Scientific Computing Seminar Series
North Quad - 2185"BME and Scientific Computing" - Ashley Tan (Biomedical Engineering and Scientific Computing)
"Emergence of three-dimensional structures from vortex pair instabilities in shocked interfacial flows" - William White (Mechanical Engineering and Scientific Computing)
Ph.D. in Scientific Computing Seminar Series
North Quad - 2185"Embodying mechano-intelligence in mechanical metastructures for in-memory phononic learning" - Yuning Zhang (Mechanical Engineering and Scientific Computing)
"Global Probabilistic Geomagnetic Perturbation Forecasting" - Hongfan Chen (Mechanical Engineering and Scientific Computing)
Ph.D. in Scientific Computing Seminar Series
North Quad - 2185"Py-Conformational-Sampling: Towards Predicting Stereoselectivity" - Soumik Das (Chemistry and Scientific Computing)
"Materials Science and Engineering and Scientific Computing" - Woohyeon Baek (Materials Science and Engineering and Scientific Computing)
"Data-Driven Development of Constitutive Equations for Thixotropic Waxy Oil Rheology for Flow Assurance Using Symbolic Regression and PINNs" - Samuel Ogunwale (Chemical Engineering and Scientific Computing)