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(e.g., imaging fluorescent proteins in C. elegans ) Data analysis (image processing, quantification, statistics, etc .) C. elegans husbandry (animal maintenance, etc .) Assist with general laboratory
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activity should focus on conducting research on machine learning methods, image processing, and advanced data analysis. Furthermore, participation in research projects, active grant applications, and
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of the project MESSENGER: « Can rock-powered Microbial EcoSyStEms provide valuable iNsiGhts into early life and its emERgence? » funded by the PEPR ORIGINS (https://pepr-origins.fr/en/ ) and integration
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: Algorithm. Software architecture. Machine learning. Professional Experience: In programming and/or research, image processing, machine learning. In topics of machine learning applied to wireless
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care service for the Equine Medicine and Surgery (EQMS) section of the department of Veterinary Clinical Medicine. The EQMS section consists of 12 faculty (including MWE faculty), 9 house officers, 9
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motivated Preferred Qualifications: Experience with serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy
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of megamitochondria engulfing lysosomes (MMEL), a process implicated in mitochondrial self-digestion and hypoxia adaptation. However, the molecular regulators of MLCS dynamics during hypoxia are poorly understood. FIS1
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, following departmental policy and procedure. Positions and immobilizes patients according to the treatment plan and effectively evaluates images according to standard guidelines. Mobilizes patients using
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exams in accordance with departmental procedures, selects proper technical factors, reviews and evaluates Ultrasound images to determine that they are satisfactory for diagnostic purposes and assesses
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provide the appropriate education to patients and their families prior to and post Radiology procedure and exercises responsible judgment in recognizing and reporting significant situations relating