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involves the evaluation of digital images on a computer screen and identifies/characterizes ophthalmic features and pathologies in support of medical research activities. The tasks also include preparation
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visual field defects. Imaging Function ◦ Working knowledge of the anterior anatomy of the eye. ◦ Visual Electrophysiology Recordings ◦ Has knowledge of visual physiology and corresponding electrodiagnostic
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care and support to the adult hemodialysis patients according to established policy/protocol under direct supervision of a Registered Nurse (RN). Responsible for the setup and operation of hemodialysis
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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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will have the opportunity to exchange with other members of the team during the interview process. Requirements Education Level : master degree or equivalent Required Knowledge: Cell culture (iPS
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, for search, research, and teaching; Improvements to the process for storing and managing digital surrogates and digital born content to reduce risk and increase access; A foundational cloud infrastructure for
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Molecular Genetics at the University of Colorado School of Medicine. We study how cells detect and degrade aberrant RNAs, and how dysregulation of this surveillance process contributes to human disease
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, editing intents, and real-world conditions. The project will leverage advances in deep learning, multimodal representation learning, reinforcement learning, and image/video processing to develop novel
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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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Deadline : April 15th 2026 · Selection Process : Mai 2026 · PhD Start Date : September-October 2026 How to apply All information are provided on the website of the project : https://www.eu4greenfielddata.eu/