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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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This is a full time, fixed term position for 3 years. The post holder will undertake research to develop and optimise genetically engineered plants capable of removing methane from the environment
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a national leader in the discipline. The Post-Doctoral Fellow will have the opportunity to work on statistical analyses of large-scale administrative datasets examining inequalities in evidence-based
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of statistical and/or AI/ML methods in that area Strong written and verbal communication skills in English You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research
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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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processing influence the resulting quantitative data. What you’ll do Generate systematic proteomic datasets as part of a collaborative team effort Develop and apply statistical and quantitative approaches
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, novel, and compassionate patient care; to provide evidence-based and culturally informed education to physicians, nurses, researchers, staff, and the community; and to achieve cancer health equity in our
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-to-impact pathway to answer research questions related to weather-related hazards to help communities nationwide. The postdoctoral associate will apply statistical and epidemiological models to examine the
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provides mentorship, scientific collaboration, professional development, and opportunities to prepare for independent funding and leadership in health equity research. Minimum Requirements: PhD, DrPH
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, statistical analysis and animal welfare procedures. Prepare manuscripts and presentations, collaborate across disciplines and contribute to student supervision and relevant teaching activities. You will report