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Field
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the development of AI/ML/NLP algorithms for clinical applications. Annotates medical notes and datasets to facilitate training and validation of predictive models. Collaborates with data scientists
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health field. Works with researchers to manage community programs, develop and monitor research protocols, analyze data, prepare reports and presentations, and disseminate information to a national
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Information Contact's Name S.V. Setlur Nagsh Contact's Pronouns he/him Contact's Title Research Scientist Contact's Email [email protected] Contact's Phone 716-218-1000 Posting Dates Posted 08/19/2026 Deadline
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their demonstration at synchrotron experiments. You will start working with an existing data acquisition and reconstruction pipeline which will be improved and extended for semiconductor imaging. You will also get a
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) and good research data management Your network and team Your supervisor will be Senior Scientist Johanna Lilius and through the ConWa-project, you will collaborate with scholars in planning, geography
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, data scientists, bioinformaticians, and international consortium partners. Required qualifications The ideal candidate should have: A PhD in computational biology, bioinformatics, computer science, data
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twins of patients, modeling disease biology across scales—from genome to cell to circuit—to enable proactive, personalized intervention. By combining large-scale human data (genomes, single-cell and
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resilience for mental health outcomes. This is an opportunity for scientists who want to do more than apply established tools to familiar questions. The lab is interested in building a deeper framework for
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fiercely curious scientist. The successful candidate must possess a deep hunger for scientific discovery, the ability to think critically and independently, and the ambition to push the boundaries of current
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the development of AI/ML/NLP algorithms for clinical applications. Annotates medical notes and datasets to facilitate training and validation of predictive models. Collaborates with data scientists