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Bioinformatician at the intermediate or senior level. The Breuss laboratory is focused on employing and developing statistical machine learning, bioinformatic algorithms, and related approaches for the detection
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with psychiatric diagnoses, developmental differences, and the ability to manage different levels of acuity, including patients in different levels of care. (traditional inpatient, outpatient, and
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across differences, intentional recruitment strategies, and policy reviews demonstrate a commitment to a welcoming environment. Robust Research Infrastructure: With diverse funding streams and hundreds
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developed and tested fall prevention interventions, examined the feasibility of digital health solutions such as apps, ingestible sensors, and wearables for medication adherence and vaccine uptake, and
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Senior Advisor for State Relations and Public Policy - 37647 University Staff Description Join Our Team and Make a Difference in Higher Education! At the System Administration office at
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, perform data cleaning. Develop machine learning algorithms, natural language processing tools, and end user tools. Develop and interpret MCMC models; develop meta-models. Analyze epidemiologic and
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, and virtual learning modules Ability to assess user readiness and tailor training approaches to different learning styles and technical skill levels Comfortable facilitating change enablement and
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researchers in multiple different domains and healthcare providers · Accomplishments and publications in research areas spanning the boundary between the biomedical sciences and the computational
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of stem cell biology or regenerative medicine related to T1D Strong motivation to collaborate with investigators in multiple different domains Priority will be given to candidates with demonstrated
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and wellbeing of older adults who seek emergency care. We have developed and tested fall prevention interventions, examined the feasibility of digital health solutions such as apps, ingestible sensors