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Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 29 days ago
Skip to main content FDA Fellowship - Mechanistic Modeling and Simulation Organization U.S. Food and Drug Administration (FDA) Reference Code FDA-CDER-2026-0141 How to Apply To submit your
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LLMs for visual question answering and grounded reasoning, including graph visual RAG publish and present your results at leading machine learning and computer vision venues Project supervisors
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with one or more of the following models: WRF -Hydro, Advanced Terrestrial Simulator ( ATS ), Stormwater Management Model ( SWMM ), Hydrologic Engineering Center – Hydrologic Modeling System ( HEC
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publication in reputable journals and conferences. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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the preparation and writing of research grant proposals. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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engineering teams to develop and integrate AI-based digital design solutions into existing and new software systems Analyze and assess current digital design flows, libraries, and system architectures to
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generative modeling, with a focus on flow matching and related techniques. To produce publications in top conferences and journals. To offer guidance and assistance to any students involved in the
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Requirements: PhD’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal
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Technological University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising