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Classification Title: Post Doctoral Associate Job Description: A Post-doctoral Associate in Social Network Analysis position is available for up to 2 years to work within the NSF supported project
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Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first
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. The candidate will assist with data curation, development of data visualization and analysis tools, and maintaining interdisciplinary relationships between UF researchers and UAA staff. Candidates will be
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studies. Essential Duties and Responsibilities: Assist in conducting experiments using animal, cell and human tissue models Perform laboratory techniques including tissue collection, processing and analysis
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of data. Assist in the supervision of undergraduate students. Conducting statistical analyses. Prepare manuscripts for publication. Experimental design and statistical analysis. As one of the world’s
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research, or related fields and an outstanding ability to perform thoughtful, critical quantitative analysis. Applicants must have or be able to obtain a Florida driver’s license upon hire. Candidates must
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specialized settings. Participate in funded grants, such as developing educational materials and distributing those resources to Behavioral Therapists across the state. Expand the applied behavior analysis 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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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