4,882 phd-scholarship-for-solid-mehanical-engineering-in-image-processing Postdoctoral positions
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development. Basic Qualifications: A PhD in computer science/engineering, electrical engineering, data science or a related field completed within the last five years. Experience of AI and efficient computing
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foundation in catalysis/ separation and chemical/process engineering. The successful candidate will significantly contribute to the conception, synthesis, and evaluation of separation/catalytic systems aimed
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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. Education, Qualifications and Experience Essential Criteria Applicants must have: A PhD in physics or engineering or related discipline, or equivalent industrial experience (or awaiting graduation by
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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processing and image reconstruction. Orange County is world-renowned for its natural beauty, perfect year round climate, gorgeous locales on the Pacific Ocean and incomparable recreational opportunities. Great
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Engineering stream. The candidate will also be expected to participate in UM6P's collective projects and external missions, and to provide support to students (PhD and Master), i.e., supervision for the writing
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. Required Qualifications: Ph.D. in neuroscience or related discipline. Strong background in in vivo behavioral assays, electrophysiology, and/or imaging techniques. Solid publication record in peer-reviewed
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applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department
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Description Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University