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skills in data analysis, scientific writing, and communication Ability to work independently and collaboratively within a research team Willingness to relocate or commute to Gainesville, Florida Job
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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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genetic architecture of complex traits and diseases. Key responsibilities for the postdoctoral associate position include data analysis, manuscript writing, research presentation at conferences, and
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and systems analysis across related food and biosystems projects in ABE and GFSI. Utilize the HiPerGator high-performance computing system to conduct advanced modeling and simulations. Mentor graduate
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approaches as well as cutting edge approaches such as DNA fiber analysis, mass spectrometry, and iPOND. The Bhaduri lab provides a highly supportive environment with ample opportunity for collaboration
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disorders, Alzheimer’s disease, human genetics, transcriptomic analysis, epigenetic study, patient derived models, mouse models of neurodegenerative disorders, immuno-based methods, CRISPR/Cas based tools
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nanoparticles for applications in nanomedicine, animal-derived food safety, and human health risk assessment; (2) collection and meta-analysis of pharmacokinetic and tissue distribution data of nanoparticles in
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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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. Conduct life cycle assessment (LCA) and techno-economic analysis (TEA) for emerging packaging and food system technologies. Prepare decision-support tools and simulation frameworks to inform stakeholders
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Qualifications: PhD in experimental particle physics at the time of appointment. Preferred: Deep understanding of the particle detectors, particle identification, data analysis Machine learning experience is a