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of flourishing within higher education. Candidates must have research interests in well-being, and a PhD in the empirical social or biomedical sciences. Preference will be given to candidates with research
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, including expertise in re-contact methods and interviewing. Five (5) years of experience with coordinating and assisting with data collection via focus groups and 1:1 in-depth interviews. Demonstrated
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for completeness, accuracy, and internal consistency. Ability to think logically. Skill in simple mathematics. At least 1-year of experience in data collection. Expertise in re-contact methods and interviewing
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methods and visualization protocols, and conduct statistical analysis of neuroimaging data. Maintain and update technologies, including hardware and software. Attend and participate in lab meetings
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the support of postdoctoral fellowships focused on wildlife health and related One Health challenges over the next decade (for DVMs or equivalents, PhDs and/or DVM/PhDs). Each fellowship is for a three-year
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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or single nuclei RNA sequencing, including laboratory and analytic methods. The ideal candidate will perform both in vitro laboratory methods and bioinformatics analyses. Salaries are based
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pathology on computational, molecular, cellular, preclinical and translational levels. A spectrum of scientific methods includes state-of-the-art multi-omics approaches, machine learning and implementation
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detailed records of experimental procedures and results. Collaborate with and assist other lab members on related projects. Follow and maintain laboratory protocols and procedures. PhD degree in Biomedical
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. This experience can be concurrent during PhD research. Must have experience in research software development, FAIR data/open science, life sciences data systems, and analysis of omics data (e.g., metabolomics