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1-dimensional ocean-ice model. You will identify any long-term changes in ocean CO2 uptake along the Antarctic Peninsula using data from Rothera, SOCAT (www.socat.info) and mapped CO2 products, while
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(Beraza and Rushworth) whose work have a strong translational aim. This team will train the PhD student in a series of preclinical in vivo models; molecular biology and immunology methodologies; and complex
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participation in six international training weeks, and international secondments with academic and non-academic partners. The PhD position will focus on the topic of “Developing locally integrated models
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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clinicians as well as scientists from UKSHA, we have set up a unique facility to develop radiotracers (conjugating radiometals with different targeted molecules) and to evaluate them biologically in vitro and
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, and regulate plasticity. We use cutting-edge methods (multi-omics, single cell, live cell imaging, modelling, chromatin biochemistry as well as various developmental, stem cell, and cell biology systems
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here to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information Texas A&M AgriLife Research at Corpus Christi, is seeking a highly motived Assistant
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will computationally explore catalyst materials for synthesizing different types of hydrogen storage molecules. Using advanced quantum mechanical calculations, you will develop multi-scale models
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clinicians as well as scientists from UKSHA, we have set up a unique facility to develop radiotracers (conjugating radiometals with different targeted molecules) and to evaluate them biologically in vitro and