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Classification Title: Postdoctoral Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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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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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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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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Classification Title: Post-Doctoral Associate in Polymer Science Classification Minimum Requirements: Ph.D. in Chemistry or closely related field. Job Description: A Post-doctoral Associate in
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Classification Title: Post-Doctoral Associate in Polymer Biomaterials Classification Minimum Requirements: Ph.D. in Polymer Science, Chemistry, Bioengineering or other related disciplines Strong
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Association (CPA) - approved graduate program in Clinical or Counseling Psychology, as well as completed an APA- or CPA-approved internship in a specialty area related to health and illness. Training
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-PIs experts in network science (Dr. Christopher McCarty), corpus linguistics (Dr. Stefanie Wulff), computational linguistics (Dr. Zoey Liu), and Spanish Linguistics (Dr. Diego Pascual y Cabo) beginning
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. Experience with statistical characterization of data, preferably within a Bayesian framework. Preferred Qualifications: Experience developing a (semi-)independent scientific research program on topics in