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writing the statistical code to implement the analytic models for the main effect models, the residential histories over time, and the mediation models. The Analyst will meet with the PI Dr. Osypuk, the co
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computing skills: knowledge of R and/or mPlus, longitudinal data analysis, structural equation modeling Evidence of ability to work as an independent scientist while collaborating with teams of peer
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consist of interfacing with team members, Foundation staff, and University partners. Hybrid Work Model: The University of Minnesota Foundation (UMF) operates under a hybrid work model, with the expectation
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publications • Excellent communication (verbal and written) Preferred Qualifications: • Experience with neurodegenerative disease models is preferred but not required. Job description: We are seeking a highly
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) strategic use of model systems that provide the most powerful experimental access to important biological and medical problems. With our uniquely diverse expertise, these approaches allow us to build upon
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for field and laboratory datasets. Perform statistical analysis and spatial modeling using R and/or Python. Develop machine learning models for digital soil mapping applications. Create and maintain
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Health entities to co-develop educational resources and models to prevent Diabetes among middle aged women in diverse communities. Collaborate with schools, non-profits, and other partners to explore ways
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(tabular and graphical) and regression modeling. Interpret and communicate analytic results in collaboration with research teams. Develop and maintain annotated analytic code to ensure transparency and
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, foundation models, image / signal processing, optimization, and control. Optics and Photonics: Expertise in the fields of optics, photonics, nanophotonics, quantum optics, optical materials, devices
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and related simulation modeling. Scientific writing experience (research summaries, manuscripts for submission to journals). About the Department The Department of Chemistry at the University