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- Zintellect
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Field
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Date 08/19/2025 Requisition Number PRN42875B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40
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engineering or computer science - Coding in python, medical imaging models, AI foundation models - 2-4 years experience in similar field - strong foundation in deep learning is essential - Strong analytic and
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. Experience or skills for developing optical/imaging systems. Experience or skills for system automation. Experience or skills for experimental data/image acquisition and processing in relevant coding languages
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into fabrics with different structure of performance testing and purchase different materials for prototype development; and (c) perform any other duties as assigned by the project leader, Dean of School
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Classification Code: FP01 Basic Function and Responsibility A Postdoctoral Scholar position is available in the laboratory of Dr. Budd A. Tucker in the University of Iowa Institute for Vision Research (IVR
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Date 08/19/2025 Requisition Number PRN42874B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40
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Support”, through analysis of MR Diffusion Weighted Imaging and MR Spectroscopy and leading other members of the wider team Specific aims of the project To prospectively evaluate non-invasive pre-surgical
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 19 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0147-NPP-NOV25-ARC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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(33%) • Conduct full stack development efforts including UI/UX, code maintenance, and deployment pipelines (33%) • Evaluate and refine AI models using annotated data and real-world image datasets (10