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Field
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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/ exome sequencing) to address complex biological and translational research questions. Uses state-of-the-art bioinformatical and statistical tools Develops new statistical methods to answer biological
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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flow cytometry, qPCR, ELISA, confocal microscopy, immunofluorescence or multiplex cytokine analysis. Experience in the analysis and interpretation of complex biological data. Competence in statistical
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at the University of North Texas is seeking a highly motivated and determined Postdoctoral Research Associate with experience in the isolation and structural elucidation of natural products from complex crude
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
requires utilizing Python and R to process complex RNA-seq datasets, including differential gene/isoform expression and isoform switching. The researcher will also engage in cancer genomics workflows
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research quality and scientific integrity. Essential Function Yes Percentage of Time 35 Job Duty Research Data Analysis and Scientific Computing. Analyze complex biological, environmental, genomic
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program, as a “wicked problem,” that is, a complex, ambiguous, and evolving problem that cannot be resolved through routine and standardized public-policy tools. The successful candidate will be responsible
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, experience, internal equity, and budget allowance. Essential Job Duties 70%: Conduct research on a semi-independent basis to investigate, design, and execute complex laboratory experiments. Develop and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
assigned as needed. The ILS Lab develops innovative methods at the intersection of operations research, artificial intelligence, and machine learning to solve complex supply chain, logistics, and