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Position Summary The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io > on research projects related to kinetic equation and its related multiscale model reduction
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year, with the possibility of renewal for more years, subject to the performance and the availability of funding. The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io
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Pathology or Microbiology Minimum Requirements PhD in Biological Sciences, Plant Pathology or Microbiology Experience with molecular bacteriology Ability to plan, organize and execute projects
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Learning, Optimization, Scientific Computing, Statistical Data Analysis, and Topological Data Analysis. In conjunction with these research activities, the CMSE department boasts a strong PhD program and a
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methodologies in human-computer interaction, human-robot interaction, rural computing, game studies and design, and the relationships between technology and policy, health and wellness, and society
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microscopy, -omics technologies, and high-performance computing. In addition, Dr. Topp is spearheading the development of a new X-ray imaging facility with focus on non-destructive, high-resolution
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-performance computing. In addition, Dr. Topp is spearheading the development of a new X-ray imaging facility with focus on non-destructive, high-resolution analysis of root growth and soil interactions
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, machine learning, remote sensing, high-performance computing, and real-time data infrastructure. Distinct opportunities also exist in physics-informed AI, digital twins of watersheds and water
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100 new faculty positions in some of the most promising – and critical – fields of research. Candidates must have earned a PhD in Electrical Engineering or a discipline related to Space Electronics at
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computing, bioinformatics, genomics, and flow cytometry. Support is available for grant writing, locating external funding resources, and processing grant submissions pre- and post-approval. Numerous