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, United States of America [map ] Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview Susquehanna is expanding the Machine Learning group and seeking
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Engineering Operations Research Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview Susquehanna is expanding the Machine Learning group and
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Qualifications:. Detail-oriented, very well organized, and approach laboratory procedures with critical thinking. Strong initiative and eagerness to learn. Outstanding problem-solving skills. Must adhere to strict
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Postdoctoral Position in Population Genetics and Machine Learning of Autoimmunity The Garber Lab at the University of Massachusetts Chan Medical School (UMass Chan) invites applications for a
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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focuses on advanced methodologies in abdominal imaging, particularly applications of machine learning and deep learning to medical image analysis. The lab aims to advance existing imaging techniques and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 18 days ago
to gain exposure to and training in state-of-the-art uses of machine learning for solving complex optimization problems with realistic applicability in real-world investment settings. The position is ideal
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and implementing innovative solutions at the intersection of sensor data collection, machine learning, and real-time decision-making. Specifically, the candidate will contribute to projects focused
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electromagnetic device performance analysis>>>Embedded SystemsResearch focuses on:•Robotics, computer vision, and machine learning/deep learning•Wearable and implantable sensors, biosensors, and tele
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. Depending on the Research Educator's expertise, the stream may investigate topics such as: Using AI and machine learning to understand or address social challenges (e.g., health disparities, misinformation