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background in at least one of the following areas: renewable energy sources, power systems integration, energy technology management, or smart grids. Experience in development of mathematical meta-models
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flow cytometry, cell sorting, mouse models, molecular biology techniques, and immune profiling assays. · Analyze and interpret complex datasets, including genomic, transcriptomic, and
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€ and offers support for applications to independent postdoctoral fellowships. The successful candidate will investigate how toxic RNAs disrupt cellular energy metabolism and drive progressive dysfunction
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aiming to develop innovative next generation battery and fuel cell technologies. A key feature of the Centre’s work is that novel & applied technology innovations will be underpinned by fundamental
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peripheral nerves and breast cancer cells by combining advanced tissue studies with experimental cell models. The postdoctoral researcher will work with human co-culture models based on stem cell-derived
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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 11 hours ago
the regulatory science of targeted therapies, including peptides and oligonucleotide therapeutics (ONTs), through the integration of nonclinical safety data evaluation and Model-Informed Drug Development (MIDD
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 11 hours ago
obtained using nasal epithelial models, pulmonary epithelial models, immortalized cell lines, primary cells, air–liquid interface cultures, reconstructed human tissues, microphysiological systems, or other
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic