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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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postdoctoral fellow interested in gaining trainingand experience in disease modelling and translational science. The successful candidatewill lead collaborative efforts among basic and clinical researchers and
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to transcriptomics Extract, analyze, and evaluate experimental data Develop and establish research controls and standards, including animal models (mouse) Plan and write manuscripts, articles, abstracts, and research
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qualification is required at time of hire. Required Qualifications Completed Ph.D. in Ecosystem or Landscape Ecology (or related field such as ecosystem modeling, biogeochemistry, or climate change ecology
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, data visualizations, and models. Essential Functions Identify prospective participants, consent, enroll, collect biospecimens, disburse biospecimens to labs, track information, enter data into database
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equipment, and design and implement water management devices at research sites. Research Support: Assist with data collection, analysis, modeling, and report writing for funded projects. Extension/Outreach
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inferential statistics, model testing, and power analysis Desired Qualifications Demonstrated mentoring and teaching ability in the areas of statistical methods and use research-related tools Experience with
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and transcriptomics, and iPSC-based disease modeling to better understand the genetic etiologies of intractable epilepsy. The team is part of the European STXBP1 consortium . About the project STXBP1-RD
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and implement water management devices at research sites. Research Support: Assist with data collection, analysis, modeling, and report writing for funded projects. Extension/Outreach: Develop teaching
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type