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enthusiastic part-time, temporary, and non-benefitted Research & Development (R&D) Engineer with expertise in Software Engineering. The R&D Engineer is expected to work as part of a multi-disciplinary team and
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–software co-design for privacy and integrity. ● Mentor undergraduate and graduate students in experimental design, data analysis, paper writing, and professional development; provide apprenticeship
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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building; input methods; data handling; network techniques and URL loading; and, finally, specifics such as use of mobile sensing such as GPS and accelerometers. Students are expected to design and develop a
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and will hold office hours as appropriate. Qualifications: PhD in bioinformatics, biology, or a closely related field. Experience with the application of computational methods to biological problems
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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(Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly demonstrate this level of skill
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scope, schedule, and budget using formal change control processes. Proactively identify and mitigate project risks, escalating issues to stakeholders when necessary. Ensure timely, on-budget, and within
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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sample preparation, conducting data analysis, partnering with researchers on method development and evaluation, and training students and others on the use of the Facility and its equipment. This person