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, mass spec, etc.). Basic skills in communication, word processing, database searching, data entry, and data analysis (e.g., ChemDraw, Reaxys, SciFinder, Microsoft Office 365 including Word, Excel, and
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for data analysis and social media data collection • Demonstrated experience leading computational research projects with social media analysis • Strong organizational skills and ability to work as team
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to improve early detection, predict disease outcomes, and develop targeted interventions that enhance patient care and long-term kidney health. Bioinformatics and Biomarker Analysis in Kidney Disease
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of genetic and environmental exposure risk factors in asthma. Key functions will include: A) Perform genome-wide admixture and association analysis, implement ancestry-environmental exposure interaction
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vagal tone and sympathetic nerve activity. The postdoctoral candidate would be involved in: Data analysis and presentation of original work at regional, national, and international platforms. Manuscript
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data collection and integration across multi-institutional collaborators. Work closely with clinical and research teams to ensure high-quality sample tracking, annotation, and compliance with
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). The project focuses on experimental design, optimization, and construction of entangled and/or squeezed states of light for a range of applications. The role also involves building and setting up various
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, in vivo research in murine models and machine learning Strong background in statistical data analysis Excellent communication, organizational skills and written skills Ability to work independently and
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high performance computing · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work effectively as a team · Excellent written and oral
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• Excellent communication skills (written and oral) • Ability to work independently and collaboratively Desired Qualifications • Experience with metabolomics (LC-MS, GC-MS) and metabolic pathway analysis