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Field
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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary
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models with massive amounts of real-world data to transform geophysicists' ability to solve the most difficult subsurface challenges. Two grand challenges targeted by the project are: 1) developing and
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groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development
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to join our interdisciplinary research group. The successful candidate will conduct original research in biophysical modeling and live-cell fluorescence microscopy, focusing on the actin cytoskeleton’s role
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supervision and guidance, including publications in peer-reviewed journals. · Design and perform in vivo experiments in various mouse models · Perform mouse metabolic phenotyping and data analyses (e.g. glucose
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on the role of sex chromosomes in aortic aneurysms, atherosclerosis, and heart failure using mouse models that modulate the sex chromosome complements coupled with castration surgeries. Under the mentorship
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. As such, the person in this position will make independent decisions with respect to the following critical research design issues: • Which variables should be included in each model? • From what
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model building and Dark Matter to formal Quantum Field Theory. Organizationally we are part of the division of Subatomic, High-Energy and Plasma Physics within the Department of Physics . We have a
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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vivo cancer models. The candidate will be expected to: Determine the effects of the identified VFs using various in vitro and in vivo assays and investigate the underlying mechanisms Contribute