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(hiPSCs), cardiomyocytes, metabolism About the project We are recruiting a postdoc (established or newly graduated from their PhD) who has an exceptional ‘can-do’ attitude, with drive and enthusiasm to push
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of Oslo. Job description A fully funded PhD position is available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian
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enhance our contribution to society. Responsibilities* The successful candidate will work on projects performing analysis of PET neuroimage data, including kinetic modeling and multimodal data synthesis
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://www.gene.com/scientists/our-scientists/claudio-ciferri https://pubmed.ncbi.nlm.nih.gov/?term=ciferri+claudio&sort=date https://www.linkedin.com/in/stephaniemmonson/ Postdoc Program Elevate your research career
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transcriptomic data, that will be integrated with clinical metadata and whole-genome data for developing machine learning models to identify and predict patient factors driving toxicity response and sensitivity
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researcher to join our team and advance our understanding of protein adsorption at interfaces, an area critical to biologics development. This research project will focus on developing a predictive model for
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colleagues and their students/postdoc at the Ohio State University (Dr. Jill Leonard-Pingel), the University of California Berkeley (Dr. Seth Finnegan), and the Smithsonian Tropical Research Institute (Dr
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
&PEWER_Academic B_Research Fellow.pdf The Position This postdoc will explore the geochemical behaviour of critical metals in the Earth’s crust as a function of variables such as composition, temperature, pressure
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for driving research studies using electrophysiology methods aimed at investigating mechanisms underlying sensitization of nociceptive neurons in the context of migraine chronification. The postdoc will design
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, and utilize the state-of-the-art multi-scale atmospheric models, along with measurement and statistical approaches, to understand the mechanisms that drive the climate-air quality interactions, and