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advanced imaging, the project will map how ion transport and micro-fluid dynamics couple to interfacial energetics, explaining field-responsive changes that remain hidden in equilibrium-centric models
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biosynthetic gene clusters and other molecular features relevant to natural product drug discovery Validating machine-learning and deep-learning models to predict the chemical structures and bioactivity
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team using the contact information below. The Role We are looking for a diagnostic R&D scientist to be part of the Cell Models and Antibody Technology team within our Medical Devices Research Centre (MD
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experimental tests Skilled in analyzing, post processing and interpreting test results Experienced in numerical modeling and simulation techniques Has published papers in peer-reviewed journals Experienced in
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experimental tests Skilled in analyzing, post processing and interpreting test results Experienced in numerical modeling and simulation techniques Has published papers in peer-reviewed journals Experienced in
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summary and responsibilities Define the role of primary cilia in glial cells in development and disease, using both mouse models and human cells. Analyze data from molecular, genetic, imaging, and
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University is recruiting three fully funded PhD students to join our team. Our research focuses on using satellite and aerial remote sensing technologies to understand forest ecosystems, biomass dynamics, and
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
mechanisms therein, and how these changes impact whole body, glucose and lipid metabolism. To address these questions, we use preclinical mouse models and measure endpoints from the level of gene expression to
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in combination with data from automatic milk feeders. Integrating all these data into artificial intelligence (AI) models will enable faster and more accurate detection of early signs of respiratory
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. Objectives: -Fabrication, characterization and modeling of the composite magnetic materials. -Modeling, fabrication, characterization and of the embedded power magnetic core inductors. -Implementation