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Field
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
ecosystems. Your Profile A PhD in marine biology, conservation biology, fishery management & conservation, or related fields A strong background in handling large data sets, programming (preferably in R
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
statistics and the ability to apply quantitative analysis to ecological data A strong background in programming (preferably in R), including data manipulation, statistical analysis, and spatial modelling and
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analysis using data software is required (e.g., SAS, STATA, R, etc.). Qualifications: Doctorate degree in Epidemiology (or related field) from an accredited university by the start date required. Knowledge
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1703 E. Mabel St., Tucson, AZ 85721 USA Position Highlights The R. Ken Coit College of Pharmacy at the University of Arizona is inviting qualified applications to apply for the open positions
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Foundation and is led by Dr. Deborah Gross, the Leonard and Helen R. Stulman Endowed Chair in Mental Health and Psychiatric Nursing. It provides a richly mentored experience to scholars committed
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software package (e.g. SPSS, Stata, SAS, R, Mplus) is required. The appointee will join an internationally active team of researchers in developing studies in the area of digital phenotyping in early
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simulations and data analysis, detector and electronics R&D, and experiment-related operations, including: Participating in data collection including shift-taking at PSI Participating in detector and experiment
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expertise in one or more of the following: software package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing
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digital twins, and in transferring research outputs to society. How will you contribute? · Contribute to research and innovation (R&I) projects (both methodological and applied) in the field of LCA, in
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, genotype data, biomarkers, etc.) is required. Desire to apply your skills in data analysis to utilize bioinformatics methods (e.g., from R/Bioconductor) or machine learning tools (e.g., using Python packages