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diffusion models for synthesis of 5G/6G coverage maps, channel characterization, medical imaging, and RF signal synthesis. Study new reinforcement learning and DQN designs for beam tracking and management in
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/cellular biology techniques, as well as experience in animal handling and microscopy, including fluorescence and confocal imaging. Additional experience in multi-omics approaches (e.g., transcriptomics
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, Immunoblotting, proteomics and metabolomics, and Immunocytofluorescence, 3D-imaging (micro-CT and light sheet), primary cell isolation and culture, cell energy metabolism with seahorse analysis, flowcytometry
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. Experience in cell biology, preferably in gene expression and proteomic assays. Experience in ex-vivo testing, preferably with biological fluids, and cell characterization (microscopic imaging, flow cytometry
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biological fluids, and cell characterization (microscopic imaging, flow cytometry, and gene/protein expression and other omics tools). Literacy in statistical and/or computational data analysis, Design of
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, NEON airborne remote sensing, comprehensive water balance measurements, soil respiration data, and tower-based remote sensing including multiple thermal imagers and solar-induced fluorescence (SIF
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will assume a lead role in developing stabilized microbubble conjugates for delivery of neurotransmitters and therapeutics for brain imaging and delivery technology. The project will take advantage
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on the scientific potential/achievement of the candidates, technical experience/expertise in developing an imaging data-processing pipeline would be highly desirable. We are especially interested in candidates
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on the scientific potential/achievement of the candidates, technical experience/expertise in developing an imaging data-processing pipeline would be highly desirable. We are especially interested in candidates