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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
developing software and analytic tools to perform disease modeling and critical analytics in response to infectious disease outbreaks. ACCIDDA is part of the newly formed CDC-funded national network of centers
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with EDF UK. The project offers the chance to develop skills in agent based modelling spatial-analysis, optimisation and economic analysis, as well as contribute to the UK’s decarbonisation. How to apply
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Description We are seeking a motivated new PhD candidate or Postdoctoral fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
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Job Purpose Working under the supervision of Prof Jon Cooper, the successful candidate will contribute to a project focusing on combining spatially offset and stand-off Raman spectroscopy systems
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model organisms in their work and are pushing into emerging model and non-model organisms that are proving uniquely valuable in particular studies. To learn more about our department, https
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), and network analyses Mathematical or statistical modeling of temporal and spatial variability to predict microbial effects in native plant and agricultural systems Development of ecological theory
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organizational skills. Ability to train, validate, apply machine learning models to complex data sets. Preferred Qualifications Masters or PhD in an area related to Data Science, Urban and Regional Sciences
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immunology. Potential projects include developing methods for spatially resolved protein detection in live tissues, advancing ex vivo lymphoid culture models, and testing drugs and immunotherapies in murine
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September. Online registration is required prior to application: https://mpimet.mpg.de/en/career/imprs-esm . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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or Departmental Website: https://stanford.edu/group/tanglab/ (link is external) How to Submit Application Materials: Please apply through the following form: https://forms.gle/1vic3xFvaBt8qsRw7 (link is external