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systems, healthcare policy, patient safety, and nursing informatics. Familiarity with federal and private funding mechanisms for nursing research. Equipment Utilized Physical Demands and Work Environment
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grant-funded research pertaining to the computational basis of reading and acquired reading impairments at the Rutgers site, under Dr. William Graves’ supervision. 1. Designing and implementing
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. Physical Demands and Work Environment Physical Demands: Standing, sitting, walking, speaking and hearing. Must be able to work at a computer for an extended period and must be able to operate specialized
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renewable for two additional years pending productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in LGBTQ+ public health research
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Position Details Position Information Recruitment/Posting Title Post-Doctoral Associate Department Engn- Ctr Adv Infrastructure Salary Details Min. Salary 63,968 Offer Information The final salary offer may be determined by several factors, including, but not limited to, the candidate’s...
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computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications Equipment Utilized Physical Demands
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Qualifications Minimum Education and Experience PhD in genetics/molecular/cell biology field. • Experience in genetics, molecular and cell biology. • Computational experience, particularly in using R package and
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animals and human embryonic cells. Must have effective oral and written communication skills; and ability to understand and communicate in English to sufficiently perform the job duties. Must be computer
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. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Must be highly motivated, self-driven, creative, and
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academic partners to bridge the gap between cutting-edge computational models and practical manufacturing workflows. The ideal candidate has a strong background in process modeling, control, optimization