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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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of publications. Cover Letter detailing research experience and career goals. Comprehensive Benefits Package: Coverage begins on day one for health, dental, and vision insurance and includes health
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Learn about NREL’s critical objectives: NREL's Mission and Vision . Job
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with strong background in Computer Vision and Machine Learning. Position Overview: In this position, you will investigate the existing solutions for assessing datasets and developing a novel tool relying
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. Integrate and automate manufacturing equipment (e.g., CNC machines, industrial robots, PLCs, machine vision systems) within a smart factory environment. Develop data acquisition pipelines using sensors, IIoT
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endowment in excess of $3.5 billion. Job Description Postdoctoral Research Fellow JOB SUMMARY Dr. Ido Davidesco at Boston College’s Applied Developmental and Educational Psychology Program seeks to hire a
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foundation models and agentic systems and demonstrated capability to produce workable solutions from theoretical formulations Substantial publication history in top computer vision/machine learning venues