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. In particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, including spatial biology approaches. Minimum Education and Experience Requirements PhD in a biological science, or related field, degree. Required Qualifications, Competencies, and Experience Candidate must
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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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models (GLMs), and perform spatial analysis using R, QGIS and ArcGIS. The researcher will validate bioindicators, write scientific articles, present results at conferences, and collaborate with
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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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for Spatial Biology Description: The Lu Lab at Stanford University is seeking a postdoctoral fellow with deep expertise in advanced AI and generative modeling to develop computational frameworks that transform
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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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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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), 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