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effectively with individuals of different backgrounds. May require working evenings and/or weekend hours. Salary: Compensation will be commensurate based on the selected candidate's education and experience
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environment and appreciation of differences in the workplace The selected candidate must have, or be able to acquire, Special Sworn Status, to work in the Federal Statistical Research Data Center (FSRDC), of
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to work independently; • Experience working on research projects with a research team; and • Excellent verbal, writing and analytical, organizational and attention to detail skills, computer literacy and
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neuroscience research with clinical applications to addiction and other mental health concerns. Our work draws on methods from psychology, experimental economics, human neuroscience, and computational psychiatry
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into electricity through innovative thermoelectric generators (TEGs) that perform efficiently even under small temperature differences (ΔT ≤ 30 K), we aim to redefine how IoT devices are powered. This research has
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research assistants on a day-to-day basis and interface with collaborators. Organize and prepare reports for sponsors, and present progress updates to sponsors. Collaborate with researchers from different
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with statistical modeling (ideally Bayesian statistics) • Proficiency in Fortran, R, Python, Matlab, or ideally other common languages (e.g., C/C++) Strong computational skills Strong oral and written
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mathematics education and/or mathematics in science education research • Ability to teach, mentor, and support students from diverse backgrounds • Ability to work collaboratively with people from different
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in the Unit, including i) using AI to strengthen epidemic preparedness, ii) the development of models evaluating how the combination of different surveillance systems (e.g. syndromic and virologic
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complex behaviours, including learning, in the small invertebrate model organism C. elegans. We have recently discovered a range of novel dopamine receptors in C. elegans and found that different receptors