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, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early
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difficult to predict. Please review courses offered in the department and indicate which ones you believe yourself to be qualified to teach. Classes most often in need of an instructor include: CFS 31 (Family
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
to perform disease modeling and critical analytics in response to infectious disease outbreaks. Duties will include helping to implement predictive and analytic models of infectious disease using Python and R
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IF or CORE A*/A conference paper. Robust machine control assumes modeling of robot-environment interactions. An example may include an outdoor autonomous ground robot that needs to be aware of its
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the field of computational morphodynamics in plants. The work will be within the BBSRC-funded project "Tipping the balance: utilising hormonal crosstalk to control stem cell plasticity", with the aim
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: Identification of EEG and fMRI biomarkers with potential predictive value for psychedelics’ antidepressant effects (National Institute of Mental Health (NIMH), Czechia) DC4: Mapping the subjective phenomenology
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Engineering (IMSE) at The University of Texas at El Paso (UTEP) https://www.utep.edu/engineering/imse/ is a dynamic department within the College of Engineering. The department offers one undergraduate degree
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knowledge in the field of Earth’s rotational motion and global mass transport and distribution, with particular emphasis on the analysis, interpretation, and prediction of disturbances in Earth’s rotational