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patients. You’ll use cloud computing and modern data science tools to analyze high-dimensional, time-resolved data from clinical environments. You’ll collaborate with faculty in AI, clinical informatics, and
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for biological data analysis • Knowledge of tumor microenvironment and cancer immunotherapy concepts • Track record of peer-reviewed publications in relevant fields • Experience with cloud computing, version
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performance. Mentorship Structure The postdoc will collaborate closely with the lab’s principal investigator Ellen Vitercik, PhD students, postdocs, and external collaborators on multiple research projects
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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
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embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
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Prevention Research Center, an interdisciplinary research program on the prevention of chronic disease, is seeking MD, PhD, and other post-doctoral level applicants for research fellowships. Fellows gain
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in a highly collaborative, inclusive and supportive environment including other scientists, physicians, residents, and students. This position is NIH-funded and the researcher will work closely with PI
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
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. Required Qualifications: PhD in statistics, economics, computer science, operations research, or related data science fields Strong data science skills, including experience working with large, complex data
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collaborative culture. The Division of Pain Medicine is at the forefront of innovation in pain research, education, and patient care. Our postdoctoral program has successfully transitioned fellows