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and execution against government grant fund objectives. Develop and validate the business model, value proposition, market-entry strategy and customer requirements. Build OEM, distributor, clinical
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with a mission to find solutions to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific tools and innovative solutions for American
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Service (ARS), located in College Station, Texas. The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief scientific in-house research agency with a mission to find solutions
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verbal, written communication skills In-depth knowledge of deep learning, specifically VLM models, computer vision techniques (e.g., open vocabulary object detection, model distillation, VQA, test-time
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electronics, including the design, execution, and dissemination of original research outputs. The post-holder will lead and deliver research objectives within the ALL-DC-SHIPS project, including shaping
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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* Design, implement, and evaluate wireless-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide
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for intelligent devices. Job Responsibilities Develop monitoring methods to detect malicious skill execution and unsafe or misaligned agent behaviour. Design experiments and prototypes to evaluate agent safety
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, especially where this integrates insight from sustainability. The successful candidates will report to the Head of Department and act as the leader of their research group, setting clear task objectives
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NTU, CEE is a leading school for Sustainable Built Environment. We are looking for a research fellow to support the development of algorithms for anomaly detection, simulate and test it on