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experience Required Qualifications: PhD in Electrical Engineering or a closely related field. Preferred: Demonstrated expertise in AI/ML, including deep learning, computer vision, LLMs, VLMs, multimodal AI
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-site datasets collected across international collaborators. The role will involve working closely with MRI physicists, clinicians, computer scientists, engineers and mathematicians to ensure high-quality
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describing research / outreach interests and fit with this position (2) curriculum vitae/resume (3) three references (contact only; no letters needed). Working Conditions: Sitting/staring at computer screens
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-cultural organizational psychology Equipment Utilized Statistical software: SPSS, R, Mplus, PROCESS Physical Demands and Work Environment Computer access and access to aforementioned software Overview
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, pumps, valves operated by a computer and the corresponding software Develop flow cells to connect various spectroscopic tools to the setup Create and validate reproducible automated workflows
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have the opportunity to contribute to various cutting-edge research areas. Several exciting research topics are proposed (not limited): Computer Vision / Remote Sensing for Agriculture: Explore
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variety of communities, backgrounds, and identities, - commitment to equity, diversity, and inclusion as well as accepting and embracing neurodiversity - Skillful with computer software and statistical
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, computer engineering or related areas. LanguagesENGLISHLevelGood LanguagesSPANISHLevelGood Additional Information Selection process Applications will be evaluated according to the following criteria: CV: up
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the opportunity to contribute to various cutting-edge research areas. Several exciting research topics are proposed (not limited): Computer Vision / Remote Sensing for Agriculture: Explore
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Infrastructure? No Offer Description Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining