72 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Maryland
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scientists), to design and carry out research, primarily at the intersection of computer vision, robotics and machine learning. Producing high-impact research in support of publications or proposals
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. Highly proficient computer skills including MS Office Suite and G-Suite. Demonstrated expertise in using authoring tools such as Captivate and Storyline to create sophisticated adaptive learning content
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for the position is expected to teach undergraduate and graduate courses in epidemiology at fundamental and intermediate levels, and mentor students. In addition to teaching, responsibilities may include developing
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: Faculty University Authorized FTE: 100 Unit: ENGR-Electrical & Computer Engineering Campus/College Information: Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease
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-robot collaboration, human behavior modeling, human-robot communication, learning and cognition, planning and re-planning, management of trust and its effects on collaboration, and forensics for human
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, and Central offices i.e. AP, AR, ORA, etc.) Posses critical thinking skills, demonstrated the ability to solve problems, willingness/ability to learn through provided trainings and take initiative
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Engineering, or a related field. In-depth knowledge of and proficiency in teaching C and UNIX as well as digital logic design is also required. The ability to teach operating systems is also a plus
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. The university is undertaking major new initiatives in Data Science and Machine Learning, supported by existing efforts in related disciplines. The Department of Computer Science at UMD is consistently ranked
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systems. Students would have hands-on experience with real-world IoT applications, including security, cloud computing, and machine learning. Instruction is mostly in person at the newly constructed