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Postdoctoral Researcher -Discovery and Bioengineered Production of High-Value Plant Natural Products
, protein modelling and bioinformatics are especially encouraged to apply. • Excellent organization, communication, and interpersonal skills. The position is open effective immediately. The lab is based in
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; conceptualizes, designs and executes complex laboratory experiments; plans and executes advanced molecular, cellular techniques and bioinformatic analyses; plans and executes in vivo experiments of nerve and spine
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; Experience in cellular and RNA biology and animal work is required. Experience in bioinformatics preferred. Additional Information: Location: Pelotonia Research Center (1040) Position Type: Term (Fixed Term
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manuscripts, and present research results at international conferences. Basic Qualifications • Ph.D. degree in genetic epidemiology, statistical genetics, bioinformatics, biostatistics, or a closely
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involving biochemistry, chemistry, and analytical mass spectrometry. Bioinformatics is key to interpreting proteomics datasets, and the individual must be able to analyze and explain proteomics data
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neuropathological data, deep molecular characterization of human tissue, experimental models, and cutting-edge bioinformatics and machine learning approaches. We embrace a multipronged strategy to expedite
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, deep molecular characterization of human tissue, experimental models, and cutting-edge bioinformatics and machine learning approaches. We embrace a multipronged strategy to expedite the discovery
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, and cell-free DNA (cfDNA). The successful candidate will leverage expertise in computational biology, epigenetics, and bioinformatics to develop innovative biomarkers for cancer detection, disease
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science, bioinformatics, and biostatistics. They have a strong diversity, equity, inclusive culture for faculty who develop careers in both innovative research and collaborative research. Faculty in
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manuscripts, and present research results at international conferences Ph.D. degree in genetic epidemiology, statistical genetics, bioinformatics, biostatistics, or a closely related quantitative field