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No Department(s) Mathematics and Computer Science Reference number V32.7436 Job description Random spin systems from statistical mechanics have been successfully used to study critical behaviour at the interface
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We seek a talented and passionate candidate to undertake PhD research in computer science, mathematics or statistics, and provide assistance to academic staff in a part-time Graduate Teaching
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and plant) - Use of equipment for measuring soil/plant water status and soil respiration - Use of computer programs such as: image processing, gis and statistical data analysis. Specific Requirements
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, with candidates having the opportunity to develop skills in statistics, epidemiology, and environmental science and more, enhancing their ability to work across disciplines. It requires perseverance
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statistical analysis Ability to take initiative to solve technical and logistical problems Ability to write reports and manuscripts to a high-level Flexible approach to working (including travel, hours
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Max Planck Institute for the Science of Light, Erlangen | Erlangen, Bayern | Germany | about 2 months ago
data from deformation-cytometry (DC) experiments as predictors. Perform statistical analysis, unsupervised and supervised clustering models to categorize, characterize and predict various diseases
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with faculty and residents to disseminate these findings through intramural and extramural research efforts; developing grant proposals; and mentoring trainees. Job Duties Build and test statistical
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career in research an excellent command of English in terms of writing and presentation skills. A good knowledge of (1) using statistical software (e.g., Stata, SAS, Python, or R), (2) programming, and (3
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of the services provided to the population. We model these social processes through social networks and predict possible social outcomes of interventions in the networks employing statistics, system dynamics
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or equivalent. initial experience with finite element modeling, time series analysis, Bayesian statistics interest in methodological development work, careful independent supervision of experiments The University