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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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chapters/directed lecture materials, and development of software tools for numerical analysis based prediction and comparisons for verification and validation (30%); and -other related duties as assigned (10
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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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, 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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: This position is not eligible for H-1B visa sponsorship. Qualifications Required Qualifications: A PhD in Epidemiology, Biostatistics, Statistics, or a related field Effective R programming skills Previous
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biological datasets Working knowledge of statistics and software for the analysis of genome-wide SNP data (STRUCTURE, dartR, PCA, SplitsTree) Valid driver’s license, or acquisition within one month of hiring
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. Proficiency in statistical software and epidemiological modeling Excellent written and verbal communication skills and the ability to work in a collaborative team with different research groups to complete
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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