163 assistant-professor-computer-science-data Postdoctoral positions in United States
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subdisciplines including computational chemistry, organometallic chemistry, materials chemistry and forensic science, to name only a few. We have a full line of degree programs in chemistry education that
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with major research universities worldwide as well as with neuro-related industries. The position will work under Dr. Ganesh Chand, Assistant Professor of Radiology, within WashU in St. Louis School
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of reinforcement learning in the brain and leverage these models to assist the experimental groups with experimental design and multimodal data analysis of neurophysiological, causal, and behavioral data
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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techniques such as RT-PCR, seq-RNA, IHC, and FACS. • Experience of RNA-sequencing and data analysis. • Experience of working in dental pulp and mineralized tissues (tooth and bone). • Good oral and written
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optimization of new quantum materials. Data Analysis and Interpretation Perform quantitative analysis of research data; Use statistical and computational tools to interpret results and generate insights; Present
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contact the Division's Office of Program & Employment Compliance at compliance@uada.edu . For general application assistance or if you have questions about a job posting, please contact Human Resources
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information about the lab can be found at www.princeton.edu/~cmngroup. Applicants must have a recent doctorate with appropriate research experience in cell biology, developmental biology, microfabrication
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
techniques such as RT-PCR, seq-RNA, IHC, and FACS. • Experience of RNA-sequencing and data analysis. • Experience of working in dental pulp and mineralized tissues (tooth and bone). • Good oral and written
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at www.UNTSystem.edu . Department Summary The Computer Science and Engineering department is home to 9 Professors, 11 Associate Professors, 7 Assistant Professors, 5 Lecturers, over 100 Ph.D. students, over 180 master