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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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Bajcsy, PhD Information Technology Laboratory (ITL) National Institute of Standards and Technologies (NIST) Phone: 301-975-2958 Email: peter.bajcsy@nist.gov URL: https://www.nist.gov/people/peter-bajcsy
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. As part of BioM , the candidate will work in an interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest
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learn about carcinogenic mutagens (https://www.biorxiv.org/content/10.1101/2023.12.06.570467v1 ), while studying the spatial genetic heterogeneity of tumors tells us about the tumor mode of growth (https
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will evaluate potential biases among different measurement approaches —including thermochronology, cosmogenic nuclides, and suspended sediment records— and apply advanced statistical analyses and erosion
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other post-doctoral researchers. The project will also provide a specific budget for a laptop and for travels to workshops and other meetings. REQUIREMENTS: A PhD in an environmental, economic, or related
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-throughput biological datasets Experience with analysis of proteomics or spatial transcriptomics experiments is a plus Sound statistical knowledge and fluent programming skills using R/Bioconductor and/or
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internationally Skills and Qualifications Completed PhD degree in epidemiology, environmental health, statistical science, biology, biochemistry, medical sciences, or related fields Demonstrated expertise in
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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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fulfilled all requirements for the award of a PhD or equivalent qualification in a relevant field by the date of employment. Desired Qualifications: Mandatory (M), recommended®, and ideal-but-not-necessary (I