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synced with Boston campus. Minimum Qualifications PhD in Mechanical Engineering with Thermo-Science concentration. Clear understanding of the undergraduate fluid mechanics. First seven chapters of Frank
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of Machine Learning, Computer Vision, Large Language Models and related technologies. Relevant publications – articles in peer-reviewed scientific journals indexed in WOS with an impact factor. Excellent
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
Computer science » Modelling tools Technology » Biotechnology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 5 Jun 2026 - 23:59 (Europe/Ljubljana) Country Slovenia Type
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and mentoring PhD students, directing their own research program, serving on external program committees, and building collaborative relationships with industry, government, and nonprofit partners
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enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision
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: http://adminrecords.ucsd.edu/PPM/docs/230-311.html Department: https://oph.ucsd.edu/ Qualifications Basic qualifications (required at time of application) Candidates must have a PhD or MD/PhD in
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partner institutions and university departments to ensure effective program delivery and resource utilization. Oversees the planning, design, and execution of educational and public engagement initiatives
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
the department and teach courses if they choose to do so. Education and Experience: Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in
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large PhD programme, and pursues a balanced strategy across research, education and external engagement. We are seeking applications for a Lecturer (Teaching track) in the broad area of Aviation
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computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus on computer vision, image processing