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processing, imaging, and machine learning to analyze data and help with aggregation, harmonization, and dissemination of our datasets to the research community. More specifically, they will be able
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research associates, technicians, PhD, and master’s students on projects related to stem cell biology and aging. Performs other related duties as assigned or requested. The university reserves the right
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in bioinformatics) Background and work knowledge in scientific computing, algorithms, and machine learning or statistics is required Familiarity with R or Python, and the Unix (Linux) environment is
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. Coulourides Kogan at [email protected] at a later time. Preferred Education: PhD The annual base salary for this position is $70,000. When extending an offer of employment, the University
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of genomic, epigenomic, and transcriptomic data processing and analysis, expertise in multi-omics data integration, and working experience with computational modeling and machine learning. The ideal candidate
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teaching and pedagogy, scientific communication skills, grantsmanship, mentorship, and a wide variety of research techniques. Qualifications: Qualified applicants will have a PhD or equivalent degree in
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will work on research projects in a highly interdisciplinary environment. Will work with senior research associates, technicians, PhD, and master’s students on projects related to stem cell biology and
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communication and Interpersonal Skills. Professionalism (honesty and integrity). Preferred Qualifications Preferred Education: PhD in biological science field. Preferred Experience: Experience in molecular
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research and of highlighting digital twins for sustainability to the University as a whole. Candidates should have the following qualifications: (1) a PhD or similar from a top university with demonstrated
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plaques or tau tangles) using PET or immunohistochemistry based measures. Preferred Qualifications: PhD in neuroimaging/neuroscience, computer science, mathematics, physics, electrical engineering or