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: General Biology (majors and non-majors) Cell and Molecular Biology Ecology and Evolutionary Biology Anatomy and Physiology Microbiology Genetics and related fields Responsibilities: Teaches assigned courses
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terrain, the co-evolution of morphology and control for soft and legged robots using differentiable and evolutionary optimisation, and gravity-aware locomotion strategies for mass- and energy-limited
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regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented
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programs in Biology, Environmental Science, and Genetics and administers the Ecology & Evolutionary Biology Graduate Program. Our faculty participate actively in multiple interdepartmental graduate programs
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and systemic health using an evolutionary health framework. There will be a specific emphasis on applying advanced bioinformatics and statistical approaches to large, population-level datasets in
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such as Ecology and Evolutionary Biology, the Meinig School of Biomedical Engineering, and Computational Biology. Many of our researchers approach animal health through the lens of One Health, generating
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 19 hours ago
. Publication record demonstrating quantitative genomics or evolutionary analysis. Interest in developing and leading research on new model systems. Duties and Responsibilities A Postdoctoral Fellow (""postdoc
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&M University is responsible for research and teaching within the vast disciplines of the biological sciences, from molecular cell biology to ecology and evolutionary biology. Our faculty perform
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in the biological sciences and experience in molecular genetic techniques, including high throughput sequencing and data analysis. Strong research background with comparative evolutionary questions
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, phylogenetic and evolutionary inference, clonal dynamics, and immune-tumour interactions, and will emphasize rigorous uncertainty quantification and reproducible, scalable analysis of large multi-omics datasets