School of medicine jobs board – pda 101 gas station

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Postdoctoral position is available at the Andrew Feinberg lab in the JHU Center for Epigenetics for study of the epigenetics of cancer, metabolism, and behavior, focused on disease mechanisms, model organisms, and the role of epigenetics in gene-environment interaction. gas vs diesel mpg All of the studies are interdisciplinary, involving collaborating faculty in experimental design and mentorship at the Johns Hopkins University School of Medicine, preparing fellows for team-based jobs grounded in outstanding scholarship. We are addressing the following scientific questions:

• How do genome and environment interact to cause disease, and how is this mediated by the epigenome? We are addressing the mechanisms through which environment influences gene function, or “GxE”, focusing on important and contemporary exposures highly relevant to human health: diet, environmental toxicants and their relationship to metabolic disorders and cancer. See: Barrington et al, Genetics 2018, 208:399.

• What is the mathematical foundation of epigenetic information? We are pursuing our novel idea that genetic variants that control phenotypic variance confer a selective advantage in evolution in an environment that changes, and that the same idea may explain phenotypic plasticity in cancer evolution, with the “hallmarks” of cancer being selected for at the expense of the host. electricity demand We are developing new information theoretic tools to relate DNA methylation, chromatin structure, and gene sequence to stochastic modeling. See: Jenkinson et al, Nature Genet 2017, 49:719.

See our website for details: http://feinberglab.jhu.edu. gas weed strain Interested candidates must have received or expect to have received the PhD or MD/PhD in 2018 or 2019, have a strong graduate school record in genetics and/or biostatistics, and have published or have accepted one or more high-quality peer reviewed publications. To apply, please upload to this website a cover letter, C.V. including bibliography, unofficial graduate school transcript, and contact information for three references, but do not have them send letters at this time. Any questions about the position or application process can be directed to Michael Graziano at graziano@jhmi.edu, but only applications submitted through this website will be considered.

Fellows will work at the intersection of engineering and emergency medicine to harness large-scale electronic health record (EHR) data to assess the potential avenues of transmission of infectious diseases within the hospital as well as examine potential interventions to contain transmission. electricity 101 pdf Post-doctoral fellows with broad interests in data-science, network-analysis, and mathematical modeling are encouraged to apply.

Fellows will be supported by the Modeling Infectious Diseases in Healthcare Network (MInD – Healthcare) sponsored by the Centers for Disease Control and Prevention (CDC). electricity static electricity The objective of this project is to assess the drivers of, and impact of interventions to control, transmission of Healthcare-Associated Infections (HAIs) and Antibiotic Resistant (AR) Infections within and between hospitals. The fellows’ primary responsibility will be to develop models of transmission within the hospital, assess network dynamics, and evaluate intervention impacts. The overarching objective will be to develop cost-effective interventions that can be deployed at different levels of the healthcare system to reduce health and financial harms caused by HAIs and AR infections.

Fellows will work at the intersection of engineering and emergency medicine to harness large-scale electronic health record (EHR) data to give care teams real-time and predictive insights for safer, smoother, and more affordable care. que gases componen el aire Post-doctoral fellows with broad interests in data-science, human-computer interaction, and decision sciences are encouraged to apply.

Fellows will be supported by the Connected Emergency Care (CEC) Patient Safety Learning Lab sponsored by the Agency for Healthcare Research in Quality (AHRQ). The objective of this lab is to reduce health and financial harm for patients receiving emergency department (ED) care with an initial focus on lower respiratory tract infections. The fellows’ primary responsibility will be to develop and test learning and optimization models that advance data-science and are deployed at the point of care for key diagnostic, treatment, and disposition decision-points. gastritis The overarching objective will be to deploy decision support that creates a connected (closed-loop) emergency care system toward reducing health and financial harms caused by suboptimal diagnosis and treatment in the ED.

The fellows will work closely with multidisciplinary team of faculty and Ph.D. students from Johns Hopkins University and the MICA Center for Social Design. Women and Underrepresented Minorities are highly encouraged to apply. This is a year-long postdoc which can potentially be extended up to three years upon satisfactory performance and availability of funding.