1,810 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at Rutgers University
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reach a wide variety of audiences. This position works to translate academic and research content into accessible language and formats, understand and synthesize findings from multiple sources, and
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of clinical, genetic, imaging, digital and biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease
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platforms. Preferred Qualifications 3 years of federal grant experience such as NIH, NSF, DHS. CITI human subjects training completion. Broad understanding of social media landscape to help develop
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and one-on-one training for IT and other staff, faculty, and other end users. Develops documentation and policies for technical systems and processes. Investigates emerging technology trends, guiding
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developing research and fellowship proposals, including developing budgets and other business- or administrative-related aspects of applying for grants and the administration of the post-award process and
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for the SBS Division’s business unit, collaborating with faculty leadership and staff to develop and implement the financial and administrative infrastructure for SBS area centers and affiliated units/programs
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Health Institute (CHI), and the Rutgers Brain Health Institute (BHI) seek applications for tenured or tenure-track Assistant or Associate Professor to fill multiple new faculty positions. We are seeking
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civic engagement—and develop recommendations grounded in data. Findings will be disseminated to inform policymakers, educators, and social media platforms about effectives ways to bolster democracy in
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application evaluation review to plan and meet multiple undergraduate enrollment goals for RU-N. This position is responsible for and not limited to the following: With daily engagement research/analytical
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to work on multiple research projects including but not limited to: 1) understanding organic acid, sugar, metabolite gene expression of breeding populations; 2) method development and implementation