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coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Working alongside with wet-bench scientists and PhD candidate (both with and without computational experience
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Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain data storage and usage of high-performance computing
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of emerging science, and support the strategic dissemination of data that advances patient care worldwide. Through a phased training model, the program emphasizes both foundational knowledge and leadership
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aspects of predictive modeling. A Ph.D. in bioinformatics, genetics, statistics, computer science, or a comparably quantitative discipline (e.g., mathematics, physics), or comparable research experience
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predictions of economic and sociological models. Examples of current research projects include: long-term impacts of neighborhoods and place-based policies, the role of colleges and workforce training in upward
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stakeholders and communities across Texas. The solutions we develop will have applications extending far beyond our region, serving as a model for communities worldwide facing similar 21st-century challenges
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advanced manufacturing; nanodevices and microsystems; physical science; and radiation effects and high energy physics, including all aspects of engineering diagnostics and testing, and modeling and
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assigned and model safe, professional art-handling practices. Exhibition assistance: works collaboratively with theVisual Arts Cutrator, student interns, guest curators, visiting artists, and facilities
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participants. Postdoctoral fellows will receive support for professional development and skills training to advance manuscript writing, data analyses, presentation acumen, and research models. The primary mentor
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a cross-disciplinary approach. Learning the mechanism of blast-induced neurotrauma and develop suitable countermeasures using pre-clinical models Focusing on neurosensory (auditory and ocular systems