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Field
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PhD in Computational Biology, Genomics, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in applying or developing computational methods
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systems.10% - Assist in writing manuscripts and grant writing. 10% - Train undergraduate and graduate students. 20% - Other duties as assigned. Required Education: PhD in life sciences, statistics
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science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment of the neurocognitive effects of tobacco use, and (3) behavioral interventions
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collaboration with statistical physicists for data analysis and experimental design. The Associate is expected to generate breakthrough ideas in the assigned area of research, as well as to carry out research in
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Qualifications Upon hire, a PhD or equivalent in a relevant field including, but not limited to ecophysiology, evolutionary ecology, behavioral ecology. Proven record of publications. Preferred Qualifications
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scientific investigators within and outside of the University of Arizona. Be willing to help each other. Ensure regulatory compliance of research activities. Minimum Qualifications PhD in biology or relevant
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ecosystems Experience with host quantitative/statistical genetics (heritability, GWAS…) Education and training You hold a PhD in metagenomics Languages You are fluent in English Competences Structured
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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University of Cambridge, Department of Pure Mathematics and Mathematical Statistics Position ID: CambUK -RESEARCHASSOCIATE [#26302] Position Title: Position Type: Postdoctoral Position Location
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sleep; performing anatomical tract tracing; analysing existing and new datasets using python and Matlab using advanced statistical methods such as machine learning; collaborating with other members