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office which facilitates effective working conditions and presents a favorable image Keeps informed on Extension policy, research reports, and publications which are applicable to program responsibilities
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computer vision, image/video processing, or generative modeling is highly desirable, as is familiarity with LLMs and diffusion models. The successful candidate will collaborate with Prof. Stefanos Zafeiriou
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and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
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and numerically predicting the infiltration of the final matrix by CVI. To this end, X-ray tomography acquisitions will be performed; the images will then be analyzed and processed to produce (i
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: Experience or familiarity in one or more of the following: Embedded or real-time software systems Robotics or autonomous systems Computer vision or image-based sensing Controls systems or automation Data
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: https://kaunasin.lt/en/live-in-kaunas/ Application Process Applications must be submitted electronically by e-mail. Deadline: 30 January 2026, 16:00 CET E-mail: talent.pool@lsmu.lt Subject line: My First
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order to detect microseismic events, characterise their sources, and image geophysical perturbations caused by industrial activities. The development of machine learning methods to efficiently process
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setting. Equipment Use of standard office equipment. Exceptional computer experience and skills required. Intermediate level skill in Microsoft Office Suite, and ability to navigate an EMR system. Working
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, skill, and/or ability required. Demonstrated ability and willingness to live and uphold the University’s Christ-centered mission and values. Skill in the use of personal computers and related software
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and