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Qualifications: • Demonstrated experience in quantum information science research, either theoretical or experimental. • Strong collaborative skills and a demonstrated ability to work in interdisciplinary teams
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successful completion of a background check; qualified candidates may be requested to complete a pre-employment physical, including a drug screen. Preferred Experience At least one year of experience in
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acquisition (DIA), data dependent acquisition (DDA), and parallel reaction monitoring (PRM) proteomics experiments to fit the specific experimental needs of stakeholder cancer researchers. Manage a wide variety
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proposals to obtain outside funding in support of research Prepare summaries of research findings for submission to sponsoring agencies Conceptualizes, designs and executes complex laboratory experiments
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, particularly with protein ligation and conjugation techniques + Experience in mammalian cell culture, protein/peptide mass spectrometry, and fluorescence-based techniques (e.g., FRET, nano-BRET) is highly
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Listeria monocytogenes under the guidance of scientific mentor in the Department of Microbial Infection & Immunity; designs, conducts, and evaluates research experiments; plans and executes advanced
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Familiar with qualitative and quantitative research methods in HCI Experience in human-centered design, and usability testing Experience in publishing multiple first-author research articles in peer-reviewed
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| Neurology Post Doctoral Researcher to pursue specialized research training, education and experience under the guidance of a scientific mentor in the Department of Neurology; plans, designs and executes
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the opportunity to take the lead on research projects, write manuscripts, and present the research results at international conferences. Minimum Education Required Ph.D. and experience in bioinformatics
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individuals who have experiences in mouse genetics, mouse behavior, two-photon imaging, RNA-sequencing/analysis, and cancer biology. Plans, designs and executes experiments of considerable scope and complexity