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learning, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using
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disparities, and/or population aging. Candidates giving attention to spatial disparities or dimensions of these issues are encouraged to apply, though it is not a requirement. The successful candidate will also
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Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
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in bioinformatics of spatial transcriptomics, scRNA seq Proficiency in statistical methods for data analysis, including a strong understanding of statistical principles Solid foundation in Biological
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also collaborate with student research assistants and postdoctoral associates. Data for these projects is accessed through the Federal Statistical Research Data Center (FSRDC), which requires
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Statistics or Mette Olufsen or Kevin Flores from Mathematics. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or
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for coastal ecosystems. You will perform statistical analyses of time series and spatial data on ecosystems and human activities and participate in more holistic analyses of socio-ecosystems. You will also
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information for three references. Review of applications will begin immediately. Job Summary Applications are invited for a Postdoctoral Fellow at the intersection of Regulatory Genomics and Statistical
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candidate will be encouraged to independently explore large-scale omics datasets (e.g., bulk and single-cell RNA-seq, spatial transcriptomics, proteomics) to identify and prioritize novel biomarker
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replicated in the future for monitoring purposes with an adequate temporal and spatial resolution in Portugal. The work will be developed at the Forest Research Centre (CEF) of the Instituto Superior de