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play a very vital role in the operation and availability of rotating machinery. Despite successful implementations in industrial applications, CM of bearings still poses many challenges. One
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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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HORIZON MSCA COFUND - 13 Fully Funded PhD Positions in Chronic Inflammatory Disease Research: MAP-ID
. Regulation of chronic neuroinflammation and glioblastoma progression by RNase Regnase-2. 2. Chronic inflammation as a regulator of molecular and cellular mechanisms responsible for the initiation and
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on human organ-based immunology with respect to allograft and tumor rejection and tolerance and mechanical extra-corporeal perfusion studies using tissue samples subjected to multiplex labeling, digital
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, and therapy resistance mechanisms Ability to work independently and collaboratively within interdisciplinary teams Prior experience with network modeling or machine learning is a plus We offer
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interdisciplinary team from electrical, mechanical, and chemical engineering, as well as physics and chemistry, with the intention to bring promising new 2D materials out of the laboratory and into the market-place
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
lab lab focuses on understanding the molecular mechanisms that drive aging and age-related diseases, with a particular emphasis on mitochondrial biology and metabolic regulation. We explore how
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biology, and immunology with therapeutic design and preclinical validation. The work will be carried out in a collaborative and multidisciplinary lab environment with expertise in antimicrobial mechanisms
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exploring urology‑relevant ion channel mechanisms, with translational relevance for conditions such as chronic pain, bladder dysfunction, and other urinary tract disorders. Background information The urinary
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading