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-of-the-art machine learning and 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
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18 Jan 2026 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Computer science Researcher Profile First Stage
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Qualifications: ? At least one (1) year's working experience supporting daily instructional and operational activities within a drama or theater program ? At least one (1) year's working experience assisting with
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering
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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
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perspective over the course of the program. This position will lead group advisement sessions with students, which take place between their for-credit courses (approx. once every 8 weeks). During these sessions
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Deadline 1 Feb 2026 - 23:59 (Europe/Istanbul) Country Türkiye Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme
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Education and Experience: PhD – area of expertise or focus of program of research that links to our educational mission and vision; City: Newark State: NJ Location: Newark (RBHS) Create a Job Match for
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undergraduate medicine programme with a particular focus on Innovation in Healthcare. This teaching will distinguish the KMMS programme in its vision of producing graduates who will have the curiosity, academic