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Field
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validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing and image annotation to support development of AI models trained on OCT scans from
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schools for the student records system. Resolves enrollment and scheduling algorithm discrepancies and provides reports and other information related to students and the academic programs of the university
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. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques
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human disease, and developing and applying new computational algorithms to decipher it Enjoy working closely and collaboratively to solve complex biological problems Able to lucidly present complex
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recently joined Johns Hopkins University, where she is the Bloomberg Distinguished Professor of AI Alignment and Governance in the School of Government and Policy and of the Department of Computer
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Apply Now Job Summary The Student Research Assistant will support a faculty-led research project examining how algorithmic bias affects social equity in areas such as healthcare, hiring, and
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on developing advanced new algorithms, testing and validation, and applications in medical neuroimaging and non-imaging modalities. The candidate will contribute to the overall research goals and objectives
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Accelerated AI Algorithms for Data-Driven Discovery (A3D3; https://a3d3.ai). We are seeking a post-baccalaureate research fellow (Postbac Researcher) to join our interdisciplinary team of scientists and
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cutting-edge research and work closely with experienced professionals in the field. Duties and Responsibilities · Assist in data collection and preprocessing · Implement machine learning algorithms
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experiments are appropriately conducted following the policies and procedures of Stony Brook University. The successful candidates will work on the parity- violating electron scattering (PVES ) program at