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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
to advance cardiovascular therapy development through the application of light responsive tools. Our research focuses on the use of molecular biology, optogenetics and photo controlled-signaling tool
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Job Description The SIGNATURE project aims to define the human insulin resistance molecular network by identifying different baseline sub-phenotypes of insulin resistance in humans and assessing
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The candidate will work on a project that aims to unravel the role of mechanical forces in maintaining and differentiating human embryonic stem cells. Specifically, the candidate will investigate how different
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will be on notifiable infectious diseases and evaluating cost and effect of surveillance and of different control measures as stamping out or vaccination. In the partnership, you will be working
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acknowledging that the same answer given to survey questions means different things to different people. Moreover, extant research has focused on the factors that explain levels of concern among the public as a
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Diabetes2Care a consortium around Diavantis B.V. has set of to develop an app that enables people with type 2 diabetes to take control and more responsibility for their own health. The Discret Technology and
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Automation group will develop novel machine-learning based control algorithms that allow for real-time adjustment of OSA therapy. The main challenge is to develop robust machine learning algorithm which can
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Norwegian registry data on the refugees’ demographic background, labour market participation and health service use available for the entire study group (N= 14,200) and a Norwegian control population (n
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of the climate or clean air impacts of different scenarios from such models. The position will be supervised by Dr. Drew Shindell (https://nicholas.duke.edu/people/faculty/shindell ). The researcher will advance
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comprise different characterization techniques (e.g. solid-state NMR, low-temperature physisorption of nitrogen, dynamic light scattering, and electron microscopy techniques) to characterize the obtained