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applicants will have experience in cellular and molecular biology. Experience in mouse modeling in cancer and flow cytometry is also highly desired. The Department of Radiation Oncology at the University
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; Grant development and writing, as needed. Required Qualifications* A Ph.D. by September 1, 2026 in a related area (e.g., political science, economics, public policy, etc.) Demonstrated interest in one
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publications. Required Qualifications* PhD (or equivalent degree) in neuroscience, data science, biomedical engineering, computational neuroscience, psychology, or a related field. Hands-on experience and high
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these methods accurately and independently, interact effectively with computational biologists, and clearly communicate findings through presentations and publications. Candidates with strong expertise in
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, computer science, or equivalent disciplines. Good written and verbal communication skills in English. Ability to work independently or collaboratively with a diverse research team. Desired Qualifications
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Qualifications* PhD in data science, statistics, computer science, AI, or a related field. Experience building end-to-end web applications with Python (Django/FastAPI), REST APIs, relational databases, and modern
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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communication skills. The position calls for robust knowledge and hands-on experience in cell and molecular biology, and an aptitude in computational tasks. Familiarity with advanced techniques such as single-cell and
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, data assimilation and multi-disciplinary optimization, and autonomy. We seek talented, motivated postdoctoral applicants from all areas of engineering, math, physics, computer science and other relevant
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with Owen-Smith and other members of the IRIS team. Familiarity and demonstrated expertise with network and computational science methods, science of science research, creation and manipulation of large