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Required: Further Info: http://www.csulb.edu/colleges/coe/cecs/ Department of Computer Engineering Computer Science California State University Long Beach 1250 Bellflower Blvd. Long Beach CA 90840
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the field relating to degree in Biomedical engineering/Bioinformatics/Medical informatics/Artificial Intelligence, or a related discipline, who will contribute to our international research profile in a cross
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, and staff with engineering design, modification, prototype and process development, analysis procedures, and other engineering solutions. Performs failure analysis, optimization studies and other
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Stanford Medicine, Catalyst serves as Stanford Medicine's flagship innovation program to support inventors across the Stanford community in developing and accelerating their most promising innovations
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can grow your career at UC Berkeley. Departmental Overview The Department of Electrical Engineering and Computer Sciences (EECS), in both the College of Engineering and the College of Computing, Data
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to contribute to a project at the intersection of biotechnology, drug development, and computational analysis. Candidate will be involved in: Collaborating with computer scientists and engineers to develop AI
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IM2NP (Institut Matériaux Microélectronique Nanosciences de Provence) UMR CNRS 7334 Aix Marseille Université | Marseille, Provence Alpes Cote d Azur | France | 22 days ago
7 Mar 2026 Job Information Organisation/Company IM2NP (Institut Matériaux Microélectronique Nanosciences de Provence) UMR CNRS 7334 Aix Marseille Université Research Field Technology » Materials
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Skills/Qualifications Must have, at the start of their PhD programme, a Master (or equivalent) degree in Mechanical Engineering, Physics or Photonics with solid knowledge of optics and its applications
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Information Science, Engineering/Biomedical Engineering Department: Knight Campus Department of Bioengineering Rank: Assistant/Associate/Full Professor Annual Basis: 9 Month Application Deadline October 15
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and Licensed by the State of Arkansas in Radiology Technology. Knowledge, Skills, & Abilities: Strong knowledge of radiographic imaging techniques and patient care protocols. Ability to work