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» AstrophysicsEducation LevelMaster Degree or equivalent Skills/Qualifications Key responsibilities include: Development of data processing code for cryogenic digital photosensors and image reconstruction software
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Regular/Temporary Regular Job Code 9792BD Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Spatialomics Scientific Lead / Spatial Project Coordinator Masonic Institute
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accountable to the VMBS code of professional conduct. The Department of Large Animal Clinical Sciences (https://vlcs.tamu.edu ) includes 50 faculty members and the Department of Small Animal Clinical Sciences
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robotics, medical image analysis, and artificial perception, aiming to develop innovative technologies with real-world impact and strong links to industry and society. First Stage Researcher position has
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, entrepreneurship and/or other activities supporting the applicant’s career development. Who we are looking for Requirements Doctoral degree in bioinformatics, biomedical engineering, computer science, image/signal
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Instructional Support Facilitator - Lead Technician and Patient Care Coordinator (ANML HEALTH TCHN 3
of various sizes and behaviors in a hospital or shelter environment; technical procedures of veterinary care including but not limited to drug administration, surgery, anesthesia, and imaging; operating and
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equipment, computer radiography (CR), digital radiography (DR), Dual Energy Absorbing equipment (DEXA) and auxiliary equipment to provide diagnostic images for diagnostic interpretations by a radiologist
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Date 03/20/2026 Requisition Number PRN16858N Job Title Classroom Assistant Working Title PATHS Camp Assistant Career Progression Track A Track Level FLSA Code Nonexempt Patient Sensitive Job Code? No
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Details Open Date 03/20/2026 Requisition Number PRN16859N Job Title Education Staff Assistant Working Title PATHS Camp Counselor Career Progression Track 007 Track Level FLSA Code Nonexempt Patient
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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers