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Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent
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for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated postdoctoral
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Duke University, Electrical and Computer Engineering Position ID: Duke -Electrical and Computer Engineering -POSTDOCYIRANCHEN [#30336] Position Title: Position Type: Postdoctoral Position Location
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conceive state-of-the-art imaging technologies and data analysis methods for high throughput quantification of plant traits in response to various stresses and cropping systems. This role is critical
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data
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Ph.D. in Epidemiology or Bioinformatics. Excellence writing skills in English. Experience with next generation sequencing data analysis is a plus. Knowledge in cancer biology or genetics is preferable
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cultures, molecular and genetic analysis, and protein analysis techniques. Additionally, we are looking for candidates who demonstrate proficiency in data collection, rigorous data analysis, and effective
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-established data resources accessed within a secure Trusted Research Environment for large-scale analysis. This role offers excellent opportunities to engage with a broad network of collaborators including
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. theoretical expertise, empirical data collection and analysis, or legal analysis). A growing track record in publishing and disseminating research outcomes. Initiative and independence in managing research
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Data analysis and preparation of research articles and academic presentation. Travel within upstate New York (the I-90 corridor) and opportunities for subsequent grant writing. Dr. Scott Seibert