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software development (mostly in R, or in Python/TensorFlow/Keras/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts. Duration
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building and testing analysis and monitoring software for its upcoming data run in 2027. 70%: Research, divided between Mu2e and Mu2eII. 10% Supervision of graduate students, technicians, and undergraduates
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outcomes. The individual will be expected to develop stimulation strategies and testing algorithms, write code, and develop software. They will do extensive validation and testing, under the supervision
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, applicants must have a PhD or PsyD in clinical, counseling, or school psychology and have completed an APA-accredited internship Preferred Qualifications: Preference will be given to applicants with
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be documented on your application materials. Required Qualifications ● PhD or PharmD in a relevant scientific field. ● Demonstrated experience working in a research setting. ● Strong foundation and
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presenting at scientific conferences 10% mentoring – training graduate and undergraduate students in the laboratory Qualifications Required Qualifications PhD or equivalent in Biomedical Engineering, Materials
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Required Qualifications: PhD in physiology, biochemistry, biology, chemistry, engineering, or related field Demonstrated training in one or more of the following areas: metabolism and metabolic diseases
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PhD in Animal Science, Biology, or related field Prior experience in cell culture, cellular and molecular biology techniques Previous experience working with large animals (preferably cattle) in a
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the fundamental science that will lead to realizing the potential for the subsurface storage of CO2 through mineralization. Successful candidates should have a PhD in earth sciences, chemistry, environmental
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of the areas above in collaboration with the Director, Joseph E. Gaugler, PhD (the Robert L. Kane Endowed Chair in Long-Term Care & Aging and Professor in the School of Public Health), Associate