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laboratory (http://www.garglab.org ) uses approaches from genomics, molecular biology, systems biology, and data science to understand cellular heterogeneity. We want to understand how cell systems with
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on leveraging modern heterogeneous computing architectures to enable large-scale, high-fidelity reacting-flow simulations. The models developed at the cell level will subsequently be coupled to module-, pack
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, design, and perform experiments utilizing molecular biology, cell biology and/or biochemical techniques and assays. Perform experiments in the laboratory which will include animal experiments, maintain
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in mouse xenograft models. Results of our project will indicate novel therapeutic opportunities for treatment of B-cell lymphomas. Our strategy will universally target IGH translocations, regardless
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—including diffusion coefficients, charge-transfer kinetics, and transport numbers—to support cell-scale models. Participate in project meetings and present the main research results. Disseminate results
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experience. Applications are invited for researcher to work with UCC’s Offshore Renewable Energy Research Group on FLOW-COST: Floating Offshore Wind Cost-Informed Site Selection, an 18-month project funded
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district energy systems, both commercial and open-source; Optimization of building energy consumption, both electrical and thermal; Modelling, optimization and/or control of either buildings or energy
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–massive-black-hole systems and assessing their detectability with LISA and electromagnetic observatories; connecting theoretical models to observed classes of high-energy sources and transients, such as
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of the Bacterial Cell Wall Unit headed by Ivo G. Boneca. This is a collaborative project with the teams of Raquel Mejias-Luque of the Technical University of Munich and of Richard Ferrero of the Monash University
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experience. Applications are invited for researcher to work with UCC’s Offshore Renewable Energy Research Group on FLOW-COST: Floating Offshore Wind Cost-Informed Site Selection, an 18-month project funded