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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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to the Applicants: Please contact Professor Liping Yu at liping.yu@ucf.edu for additional information. Are you ready to unleash YOUR potential? As a next-generation public research university and Forbes-ranked top
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gains, and economics, will be calculated. To develop mathematical models and perform simulation studies, floating PV systems information and details will be extracted from the site engineering drawings
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should upload: CV/Resume Three (3) professional references with contact information The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency
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written and verbal communication skills Proficiency in data analysis software and statistical methods Preferred Qualifications: Strong expertise in cellular and molecular biology techniques is essential
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, and a list with contact information for three (3) professional references. The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations
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) to obtain reaction kinetics at experimental reaction conditions. Develop and employ machine learning (ML) methods to design catalysts for application in thermal and electrocatalysis. Analyze data and write
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Materials Required: Cover letter CV Research Statement or Relevant Publication Special Instructions to the Applicants: Please contact Professor Mengjie Li at mengjie.li@ucf.edu for additional information
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start on March 2025, and continue until the positions are filled. Please contact Dr. Piotr Mikusinski (piotr.mikusinski@ucf.edu) for additional information. Department College of Sciences (COS
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consumption • Dynamic modeling, control and optimization of integrated energy systems • Techno-Economic Analysis (TEA) and flexible operation of energy systems • Data-driven modeling, uncertainty