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California State University, Los Angeles | Los Angeles, California | United States | about 20 hours ago
: The College of Engineering, Computer Science, and Technology (http://www.calstatela.edu/ecst) offers ABET-accredited BS programs in Civil, Electrical, and Mechanical Engineering and Computer Science, and BS
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Location: The University of Auckland
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Job Title: Adjunct Faculty - Medical Imaging Location: Indianapolis Job Type: Part-time Classification: Adjunct faculty Salary Range: $48.67 Per Contact Hour Reports To: Department/Program Chair
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Engineering, Biomechanics, Computer Science, or related field Preferred Experience: Experience with machine learning in medical imaging/biomechanics; grant writing support; clinical gait analysis in clinical
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laboratory (Engineering, Computer Science and Imaging Sciences Laboratory – UMR 7357 CNRS / University of Strasbourg / INSA Strasbourg / ENGEES), INSA Strasbourg is opening a Full Professor position in
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19 Mar 2026 Job Information Organisation/Company University of Antwerp Research Field Computer science » Other Engineering » Electrical engineering Engineering » Other Mathematics » Applied
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engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and
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. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu/departments/recruitment/ucd/selection/background-checks
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2026 - 23:59 (UTC) Country Belgium Type of Contract To be defined Job Status Full-time Offer Starting Date 1 Sep 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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science, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time