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for continuous and campaign-style recordings; perform time-series and spectral analyses. Integrate seismic signals with tides, water-level anomalies, and wave forcing; evaluate controls of sediment properties
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postdoctoral researcher to join our team. The successful candidate will use computational and experimental approaches to study the architecture and evolution of gene circuits that underlie organ function and
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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circuit mechanisms underlying addiction and neurodegenerative disease and using multi-level approaches that include fiber photometry, patch-clamp electrophysiology, optogenetics and chemogenetics, spatial
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candidate will be an integral member of a collaborative, interdisciplinary team that brings together expertise in engineering, data science, public health, food safety, security and systems, sustainable
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, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as
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involves a mix of field, laboratory, and experimental work. The successful candidate will conduct field sampling, perform follow-up aquatic chemistry analyses, and integrate microfluidic experiments
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leading research institutions, the University of Florida provides an exceptionally supportive environment for research. University support includes integrated and state of the art computer technology
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the USDA Agricultural Research Service (USDA-ARS). This is a full-time, three-year position based at Dr. Samarakoon’s lab MREC in Apopka, Florida. This position focuses on developing integrated strategies
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to build calibration equations for discriminating VEDU from other co-occurring grass species. Integrate remote sensing-derived products with in-situ ecological data (e.g., canopy cover, height, alpha