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Field
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) at the University at Buffalo (UB) invites candidates to apply for multiple positions as Assistant Professor, Associate Professor, or Full Professor. The new AIS department was created with the goal of creating AI
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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced
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team members to address complex challenges effectively. Key Roles & Responsibilities Develop computational methods and effectively resolve research problems utilizing multiple scientific methodologies
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team members to address complex challenges effectively. Key Roles & Responsibilities Develop computational methods and effectively resolve research problems utilizing multiple scientific methodologies
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learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology
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creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern
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Research Professional (Open Rank: Intermediate - Senior) Position #00836051 – Requisition # 37038 Job Summary: The Department of Ophthalmology participates in multiple sponsored and investigator-initiated
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manages multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develop broad-based solutions involving multifaceted technologies, and business processes
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opportunities for our trainees and researchers to freely explore creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view