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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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skills and qualifications: A recent PhD (completed within the last 5 years) in computer science, electrical engineering, or a related field. Strong background in network interconnect design and
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close to completion) in Materials Science, Physics, Chemistry, Nanotechnology, Electrical Engineering, or a closely related field, with a strong background in the synthesis and characterisation of 2D
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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based modeling. A strong publication record in top-tier venues (e.g., MICCAI, CVPR
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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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a Ph.D. in computer science, engineering, mathematics, or other related fields. Successful candidates must have Ph.D. or terminal degree prior to beginning employment at Penn State. This appointment
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. The FY25 minimum is $76,383. The Water & Energy Efficiency for the Environment Lab (WE3Lab) seeks 1-2 Postdoctoral Scholars with a vision for the coordinated operation of water systems and electricity grids
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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using real-time monitoring systems. Develop AI and machine learning models to integrate real-time monitoring data Collaborate with colleagues in computer science and computer engineering to integrate