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course material, grading, etc. Percentage Of Time 20 Application Details Special Instructions to Applicants Department of Computer Information Systems, College of Business, Postdoctoral Fellow Open Pool
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matter physics. Areas of interest include the dynamics of complex and active materials, and aspects of collective behavior and self-organization in both natural systems (e.g., inside the cell) and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
a team to work on an exciting Australian Research Council (ARC) Georgina Sweet Australian Laureate Fellowship program - Nanoscale-interactions making future functional materials more powerful. The
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be advantageous, but not essential, to have recent experience in one or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics
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. The Developmental Dynamics group combines experiments, theory and computing to elucidate the contributions of encoded genomic instructions and self-organizing physical mechanisms to embryonic development. Its
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on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Areas of interest include the dynamics of complex and active materials, and aspects of collective behavior
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, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines. Fellows are expected to carry out an active research program that can be independently directed and
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About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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of capabilities such as AI training and inference at scale, and tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics
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instructions and self-organizing physical mechanisms to embryonic development. Its theoretical and computational work is designed to integrate and abstract rapidly accumulating heterogeneous datasets, to propose