112 postdoctoral-image-processing-in-computer-science-"Washington-University-in-St" positions at University of Dayton
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Position Summary: Join the University of Dayton Research Institute (UDRI) and help shape the future of autonomous systems technology. We're seeking a dynamic Senior Computer Engineer to lead cutting
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, Computer Engineering, or Computer Science 2. Successful professional experience programming in Python 3. Knowledge of data structures 4. Experience with Natural Language Processing (NLP) techniques such as
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development duties related to developing, maintaining and deploying all aspects of computer systems related to remote sensing and imaging platforms. This may include writing and testing software in high level
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, technical leadership and business development duties related to developing, maintaining and deploying all aspects of computer systems related to remote sensing and imaging platforms. This may include writing
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academic and non-academic settings, involving design, building, and validation/testing of tissue optical spectroscopy and/or imaging equipment, as well as computational modeling of the interaction of light
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or professional) with: -- 2.1. Machine/Deep learning techniques -- 2.2. Data management/curation, analysis, processing and exploitation -- 2.3. Cryptography -- 2.4. US DOD high performance computing (HPC) clusters
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Position Summary: Join the University of Dayton Research Institute (UDRI) and Embark on a Rewarding Career in Process Engineering! Are you a talented and ambitious Associate Process Engineer seeking
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Position Summary: If you are passionate about computer technology and eager to make a meaningful impact, we encourage you to apply for this Computer Specialist position at the University of Dayton
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bring many of the following: * MS degree in Computer Science, Computer Engineering, or Electrical Engineering; * Data link and enterprise networking experience; * Simulation toolset experience (such as
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drawings, schematics, and computer-generated reports. 4 years of experience in the design or transition of technology to a validated manufacturing process/operation in the automotive or aerospace industries