78 data-hiding Postdoctoral research jobs at University of Minnesota in United-States
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/pharmacodynamic data analysis in the presence of high-dimensional covariates for the improved model-informed decision making. The initial duration of this position is 1 year, but may be extended or a second and/or
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This position includes duties related to molecular biology, data analytics and manuscript development within a computational
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applications from diverse candidates and are committed to creating an inclusive and supportive research environment. Job Responsibilities Data Analysis and Publication (50%) Test hypothesis around developmental
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project within the lab's broader focus areas of metabolism and mitochondrial bioenergetics. The fellow will be responsible for designing and executing experiments, analyzing and interpreting data, and
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. Participate in the design, implementation, and evaluation of a research project. Prepare and present data to study investigators. Author, co-author, and otherwise collaborate on reports, conference papers and
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Immunology 60% Execute experiments 20% Design experiments 20% Analyze data, write grants and papers Qualifications Required Qualifications: PhD in Biology, Chemistry, or related Biomedical Sciences Project
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diseases, including cancer • Conduct cellular and molecular biology experiments • Produce and purify AAVs (adeno-associated viruses) • Conduct bioinformatic analysis of data 20% Professional Development
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, perform imaging on Krios and/or Glacios microscopes, perform data processing and refinement for structure determination. Required skills include expert protein expression and purification skills and
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application for the position and attach a cover letter and resume. Please provide a two-page research statement and contact information for three referees. Additional documents may be attached after application
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notebook; perform statistical analyses of data obtained from experiments and render interpretations of the data. -Analyze data and present findings/progress in individual meetings and at lab meeting, when