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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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techniques. ● Proficiency in instrument control, data acquisition, and data analysis using tools such as LabView, Python or MATLAB. ● A record of peer-reviewed publications and demonstrated ability
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and evolutionary biology or a closely related field. Experience with computational analysis. Experience in assembling and analyzing short-read data (e.g., Illumina) or long-read data (e.g., Oxford
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spectrometry-based proteomics, including data deposition and retrieval through the PRIDE (Proteomics Identifications) database, and in bioinformatic data analysis, including pathway and ontology enrichment (ORA
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Alzheimer's disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel data analysis methods
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in patients with Alzheimer’s disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel
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in patients with Alzheimer’s disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel
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be shown. Preferred Qualifications: ● Experience analyzing genomic and/or metagenomic data using computational methods. ● Experience developing new approaches for the analysis of biological
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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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: ● Power module packaging and integration. ● High-density power converter design/prototyping, topology/loss analysis (including magnetic losses), thermal/EMI analysis. ● EMI emission and filter