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Description The Department of Statistical Sciences is seeking up to 3 postdoctoral fellows. These positions focus on research combined with teaching two courses every year. Area of Research: All
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the science and practice of hydrological-cryospheric modeling. Prepare drafts of papers and reports as necessary. Mentor graduate students and junior colleagues as necessary. Establish and maintain effective
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therapeutic strategies. Perform bacterial culture, genetics, and molecular cloning, such as targeted gene deletion andoverexpression. Develop and run high-throughput fluorescence- and luminescence-based
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
enlightened approach to legal education. Diverse curriculum, leading specializations, and internationally recognized faculty provide exceptional opportunities in all facets of legal education. Reporting
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research data management, and guarantee the authenticity, accuracy and traceability of experimental and survey data. Required Qualifications & Core Requirements Educational Background (Mandatory) Must hold a
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biophysical chemistry. Expected Responsibilities: Design, execute, and analyze single-molecule force spectroscopy experiments (AFM or Optical Tweezers). Purify, characterize, and prepare protein samples
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), one of Canada's leading neuroscience research centres. The successful candidate will develop next-generation human experimental models to investigate the cellular and molecular mechanisms underlying
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interest. Our mission is to provide a supportive and stimulating environment for mathematics innovation and education. Learn more about us.
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academic editing, as well as to engage in both research and teaching. The successful candidate will be a Postdoctoral Fellow with, and have the opportunity to engage in the activities of, the Critical
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focused on understanding how innate immune cells contribute to disease progression and recovery within the central nervous system. A major goal of the position is to develop new mechanistic insights