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time of hire. Required Qualifications: Experience in Galactic structure and halo dynamics is preferred. Candidates with expertise in related fields such as stellar populations or Galactic archaeology
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postdoctoral scholar position. We are looking for a skilled and highly motivated postdoctoral scholar with expertise in biochemistry, cell biology, structural biology, biophysics or related areas to conduct
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modeling, structural equation modeling, time-series analysis, psychophysiology, or neuroimaging Additional Information: The Department of Psychology within the College of Arts and Sciences seeks a Post
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methods. Activities include isolation of nonvolatile compounds of interest by Prep-LC and structural elucidation by MS and Nuclear Magnetic Resonance (NMR). Preparation of first and co-authored manuscripts
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Postdoctoral Researcher -Discovery and Bioengineered Production of High-Value Plant Natural Products
Chemistry or a related field. • Demonstrated expertise in plant natural product research. Candidates with expertise in purification and structural elucidation of small molecules, UPLC/QTof mass spectrometry
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, and academic and agency researchers, to help identify a data-sharing architecture (“database ecosystem”) suitable for use in the Great Lakes Basin. A potential need to conduct structured or semi
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Cardiovascular Medicine To perform original research in biochemical and cellular systems on the structure and function of Cytoglobin. Expertise in recombinant protein expression and purification and related
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data collection and analysis, Confocal microscopy, Illumina/Agilent RNAseq library construction, Microarray, Bioanalyzer (Agilent). Immunohistochemistry. Training others in molecular biology techniques
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: To Apply Please submit your application electronically via Workday and include the following materials: Cover letter describing your research background, interests, and career goals CV with a list of
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental