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: ● Power module packaging and integration. ● High-density power converter design/prototyping, topology/loss analysis (including magnetic losses), thermal/EMI analysis. ● EMI emission and filter
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, and provides advice on data analysis and interpretation. Required Education: PhD in Welding Engineering, Materials Engineering or related field Desired Education: PhD in Welding Engineering Required
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of considerable scope and complexity; coordinate the processing and analysis of data; develop and troubleshoot new experimental techniques and protocols; attend research seminars and conferences; draft and publish
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supporting plant breeding programs at the University of Florida and the USDA-ARS funded Breeding Insight program by identifying and implementing solutions related to experimental design, statistical analysis
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surfaces in the presence of different solutions and electrolytes and as a function of potential. Duties will include simulations, analysis and presentation; manuscript writing, development and publication in
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academic partner in AF-B-STEP, contributing expertise in AF burden quantification, AI-based rhythm analysis, and digital biomarkers. The department has a strong data science environment, with an additional
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forward, and strengthen their academic profile. Your primary responsibilities will involve data analysis of existing health records, risk factors, and genetic data, as well as preparing research manuscripts
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researchers to design, develop, and evaluate novel approaches to Endpoint Detection and Response (EDR), threat investigation, and causal analysis of audit logs and event telemetry. The successful candidate will
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The Geeleher Lab tightly integrates computational/AI-based analysis of high-throughput genomics datasets (e.g. single-cell / spatial genomics, functional screens) with wet-bench experimental work
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analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As