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Field
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Department of Electrical Engineering School of Computation, Information and Technology Technical University of Munich The position is suitable for disabled persons. Disabled applicants will be given preference
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science and engineering, physics, chemistry, electrical engineering, or a related field completed within the last 5 years. Previous experience/knowledge in one or more of the following areas: nanoscale
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of Engineering, at the University of Texas at Arlington, invites applications for a Postdoctoral Research Associate, Non-Tenure Status. The postdoctoral candidates shall hold a PhD degree in Electrical Engineering
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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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Post Doctoral Fellow- Mechanical Engineering Posting Number req33434 Employment Type Faculty Faculty Type Research Hiring Department Mechanical Engineering (023A) Academic Location School
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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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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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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of experimental demonstrators. Education, Qualifications and Experience Essential Criteria Applicants should hold a PhD in Physics or a relevant area of electrical engineering. (Applicants should have submitted
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our BSc. and MSc. program by contributing with teaching and supervision? Then the Department of Civil and Architectural Engineering invites you to apply for a 4-year postdoc position on position “data