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file naming conventions, metadata standards, dataset version control, and audit trails. Build and manage structured databases linking imaging data with clinical and research datasets. Perform data
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modeling and analysis. Ability to select, implement, diagnose, and adapt parameter-estimation or statistical-inference methods to suit the model, data structure, and scientific question. Experience with
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and collaboratively in an interdisciplinary, goal-oriented team environment. They should be able to take initiative in advancing their own research while contributing constructively to shared projects
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applications for a full-time Postdoctoral Associate to help build the HARP research infrastructure and conduct the initial studies leveraging the infrastructure. The postdoc will design and lead core projects
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, predictive modeling, machine learning, and causal inference methods. Experience with claims-based or EHR-based phenotyping, variable construction, treatment pattern analyses, healthcare utilization studies
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help shape the future of patient care and scientific discovery. Ready to Make a Difference? Apply now and help us build a stronger, healthier, and more connected future through innovative neuroscience
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funding for research, and the opportunity to build grant writing and proposal development skills, engage with diverse external partners in academia and industry, and gain mentorship from multiple faculty
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accessibility. In this role, you will help create next-generation computational tools that make behavioral assessment more objective, efficient, and widely available. Your work has the potential to improve autism
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opportunity to build grantsmanship skills, engage with diverse external partners in academia and industry, and gain mentorship from multiple faculties across disciplines. Qualifications The successful applicant
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meetings, contribute to grant applications, and build an independent research career in cancer immunology and neuro-oncology. Minimum Requirements PhD, MD, MD/PhD, or equivalent doctoral degree in immunology