8 machine-learning research jobs at University of Minnesota Twin Cities in united-States
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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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. 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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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
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, health informatics, machine learning, and geospatial analysis to work with state public health and health system leaders. Position Overview We are seeking a candidate with training in data analytics
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with detailed documentation, data analysis, and common computer applications Interpersonal skills necessary to communication effectively with team members and project collaborators Ability to collaborate