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and analysis, preparing manuscripts and grants, and training others (e.g., students, staff) in relevant methods and procedures. Job Requirements Doctoral Degree in an appropriate discipline is required
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well as compiling and presenting experimental results in the form of figures, tables, and written reports using appropriate software tools. Additional responsibilities include contributing to the preparation
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the preparation of proposals for new funding. Required Education: PhD in Materials Science and Engineering or a Related Field Additional Information: Location: Fontana Laboratories (1018) Position Type: Term (Fixed
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; modeling bumble bee species responses to climate change and human caused landscape alteration. Use analytical tools (Geneious and R software, or similar programs) to analyze and summarize genetic data
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genetic basis of human cancers; develops, adopts and implements new experimental methods to achieve further characterization of various human immune cell types, their respective developmental pathways
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: PhD in social science, data science, computer science, information systems, environmental science, ecology, or related field. Demonstrated ability to conduct independent research, as evidenced by peer
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should have demonstrated outstanding performance throughout their previous studies with their own publications. The successful candidate should hold a PhD in biomedical sciences with less than 3 years
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of the Group, the Department, and the College Participate in developing and managing grant budget Monitor expenses Experience and Qualifications Required and/or Desired: PhD or equivalent degree required
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the implementation of machine learning/AI methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have the opportunity to lead research projects, write
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on large-scale genetic data analysis, risk prediction, single-cell RNAseq, and implementation of methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have