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Field
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of applications will begin immediately and continue until the position is filled. Required Qualifications - Ph.D. in either Quantum Information Science, Computer Science, Mathematics, Theoretical Physics or a
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of funding. POSITION SPECIFICS Postdoctoral Research Opportunity in Artificial Intelligence and Automated Vehicles Larson Transportation Institute, College of Engineering, Pennsylvania State University
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The Applied Mathematics and Plasma Physics (T-5) group within T-Division conducts research across a wide variety of topics including fusion science, space plasmas, numerical analysis, computational imaging
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to have: ii) a Ph.D. in computer science, engineering, mathematics, neuroscience, vision science, or related fields; ii) a demonstrated ability to conduct original research as evidenced by high-quality
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Ph.D. by the time of appointment in statistics, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following
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molecular biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems
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related field; experience with fMRI experimental design and analysis is not required but highly desired; a strong mathematical/programming skill is highly desired; and a track record of research
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; environmental science; statistics; mathematics; data science; data visualization; documentation; records management; complex problem solving; critical thinking; resource management; communication; community
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many other units including Biology, Chemistry, Mathematics and the Brody School of Medicine, as well as at other institutions. Physics is not the easiest field of study within the University, but
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and