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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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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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) to support experimental interpretation and scenario analysis. Collaborate with a multidisciplinary team to publish findings in high-impact journals and present at scientific conferences. The University
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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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and analysis pipeline to compute the 3 and 4 point correlation functions of Roman data. Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon
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management, data analysis, recruitment, and leading/contributing to manuscripts related to the project. The associate may also work to develop culturally appropriate education and dissemination based
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science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep
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of soft materials, and mammalian and/or bacterial cell culture(s). Practical knowledge in high-throughput experimentation, confocal microscopy, and image analysis will be a plus. Must have PhD in Polymer
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. Experience in patch-clamp electrophysiology. Experience with rodent behavioral assays and analysis. Experience in molecular techniques such as RNAseq and in situ hybridization. Experience in optogenetics
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and quantitative data analysis is a plus. Exceptional writing and editing skills, with a strong command of grammar and style is also preferred. Special Instructions to Applicants: Application must be