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techniques in our laboratory, including population-scale epidemiology studies, digital pathology, genomic sequencing, and spatial transcriptomic and protein profiling. Our tissue profiling work encompasses
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techniques in our laboratory, including population-scale epidemiology studies, digital pathology, genomic sequencing, and spatial transcriptomic and protein profiling. Our tissue profiling work encompasses
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investigating the translational potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations
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on Epidemiology beginning Fall 2026. We encourage candidates with teaching and research interests related to Data Science and Statistics to apply, especially candidates working in epidemiology and its intersections
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publication writing as needed. Master's degree in Biostatistics or Epidemiology. 2-4 years of research experience in analysis of infectious disease data, including spatial analysis, force of infection estimates
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intelligence (AI) and machine learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics
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disease modelling in LMICs, particularly with experience in working on zoonotic diseases. Applicants should be proficient in the development of spatial epidemiological models, incorporation of behavioural
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(e.g., Global Health, Public Health, Epidemiology, Sociology) with a MS or MA graduate degree in Geography. Ph.D. must be conferred by August 17, 2026. Methodological background in spatial analysis
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proteomics data. Experience applying multidimensional biostatistical/epidemiological analyses to integrate spatial biology results with clinical/demographic datasets. Experience drafting IRB protocols and
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | about 2 months ago
the continuum from virology and immunology to spatial and molecular epidemiology, computer sciences, as well as social and behavioural sciences. Irrespective of their background, all doctoral candidates from