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. The researcher should have expertise in computational neuroscience (both neural modeling and machine learning expertise preferred), non-human animal behavioral neuroscience (rat, multi-site silicon probe neural
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collaborating as a member of a research team. Experience with one or more of the following: machine learning, natural language processing, LLMs Create a Job Alert for Similar Jobs About University of Minnesota
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employs machine learning methods to integrate high-dimensional multi-omics data, elucidating biological insights into aging and disease pathways. The successful candidate will specialize in statistical
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administrative experience or a combination of related education and work experience equaling eight years. ⢠Proficiency in computer skills, including Microsoft Office (Word, Excel and PowerPoint), Google
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. The successful candidate will use different computer programs to analyze viral neutralization assays and antibody binding. Analysis of flow cytometry results will be done using FlowJo or Cyflogic programs and
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project management tools (Asana, Google Suite, etc) to aid in effective program implementation. Proficient computer skills to include Microsoft Office (Word, Excel, PowerPoint,), Google Suite, and
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, and other activities. Ensure interns have the necessary resources and materials for their daily tasks and learning experiences. Manage transportation logistics, including driving interns to different
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or an encapsulation method, machine scrubbing or stripping of hard floors, applying floor finish, honing and polishing hard floors, pressure washing grouted surfaces, washing walls, squeegeeing glass, detail cleaning
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material for specialized analysis including PCR analysis. Experience processing and analyzing samples. Experience working with laboratory animals is desired, but not required. Basic computer skills are
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. Proficiency in computer programming in R (preferred) or other languages. Demonstrated excellence in written, virtual, and in-person communication. Ability to work effectively with individuals (students