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microscopy, and metabolic tracing using GC-MS and 13C-labeled metabolites. T cell function will also be studied in vivo using a genetically modified GPD2-deficient mouse strain (GPD2 KO) fed a standard or high
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biology methods, RT-PCR, flow cytometry, confocal microscopy, and metabolic tracing using GC-MS and 13C-labeled metabolites. T cell function will also be studied in vivo using a genetically modified GPD2
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and providing FOG severity assessment; curate a database of large-scale multi-label gait datasets; develop FMs that can be pretrained based on the curated database, fine-tuned to assess FOG severity
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approach for fabricating large-scale structural components. This process involves feeding a metal filler wire—either coaxially or off-axis—into an electric arc to generate a molten pool that solidifies on a
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influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
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impacts. In the Netherlands, approximately 6 million homes built before 2005 have poor thermal performance, with energy labels of E or lower. Retrofitting these homes is critical for achieving low-carbon
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labeling strategies be further developed and optimized for live-cell imaging, super-resolution microscopy, and cell-specific proteomics? How do neurons, glial cells, and immune cells communicate, and how can
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encoding fluorescently labeled cyclin B3 and specific inhibitors of degradation and/or translation. The student will also analyze the function of cyclin B3 in meiosis and mitosis by manipulating protein
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large number of distinct but interacting components. These projects address these challenges by contributing to the development of a control theory that is inherently modular, i.e., that allows
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overcoming label scarcity. Tasks: Conduct interdisciplinary research on crypto-asset analytics and financial crime prevention Analyze blockchain data and develop innovative analytics methods Contribute