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2025. -Candidates should have excellent skills in designing, conducting and analyzing Social Network data. -Excellent data analysis skills in R, Python, and/or Matlab are required. -Ability to work
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and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques. Preferred Qualifications: Prior working experience with EHR data, machine
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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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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
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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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start on or near November 1, 2025. The lab broadly seeks to understand how genes relate to phenotype in the context of visual system evolution. The lab is multidisciplinary and integrative, with genomics
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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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Classification Title: Post Doc Associate Classification Minimum Requirements: Ph.D. degree in biomedical informatics/bioinformatics, computer science, data science, electronic/biomedical engineering
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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