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candidate would work on projects in methods development for coupled electron-nuclear dynamics based on the exact factorization approach and time-dependent density functional theory. Projects involve theory
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-Medina’s Neuroinformatics for Personalized Medicine lab in McGill University, Canada. Applicants must have experience working with computational modeling and multi-omics analysis in neurodegeneration. Ideal
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capable of viewing gauges, computer monitors,charts, forms, text and numbers for prolonged periods. Must be available to work flexible hours, including overtime onshort notice and possible weekends and
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are the following: Conceptualizes, designs and implements research and program evaluation projects in support of the lab’s mission. Based on a thorough knowledge of the field and the research literature, identifies
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perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Applicant should be highly motivated
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biology, preferred. Background in immunology or cancer biology research preferred. Experience with mouse colony management and mouse experiments in vivo is highly preferred. Computer literacy with
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proficiency in MS-office applications required. Requires knowledge of Microsoft office and other computer related skills. Command of the English language must be at a skill level necessary to produce materials
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analysis, interpretation of findings, and dissemination of results. The research program is focused on understanding prenatal determinants, such as extracellular vesicles and steroid hormones, that shape
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execute experiments, analyze complex data sets, and interpret physical measurements. Experience with vacuum-based systems, surface or solid-state characterization, and scientific computing is preferred
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fellowship focused on real world evidence, health economics, patient outcomes, market access and policy research. The program provides interdisciplinary training through hands on industry research, academic