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Desirable criteria Experience in application of machine learning to metamaterials modelling Experience in modelling molecular interactions Experience in modelling of mass transport at the nanoscale
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project quantifying plant anatomical diversity, the developmental processes that generates this diversity, and how this anatomical diversity influences biomechanical properties. The ideal candidate will
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(analysis/ geometry), applieddifferential geometry and machine learning;•Solid publication record in image analysis, scientific computing or machine learning.•Knowledge and practical experience in at least 3
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. Manage and update computer lab systems monthly. II. Workstation and Lab Management Lead the CADE Windows Lab Imaging process, including image preparation (two weeks per semester), physical lab imaging (one
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directed by lead, supervisor, or manager. Required Qualifications* High School diploma or equivalent. 1+ year/s of customer service experience. Basic computer skills Ability to Multitask in a fast-paced
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Core Manager provides full time technical support, management, operation and upkeep of all microscope modalities in the imaging core at UNLV. The core manager will provide research and microscopy support
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 14 days ago
imaging and with interest in translating research to clinical context. We require expertise in Machine Learning and Image Processing, notably Image Segmentation. Knowledge in Medical Imaging is desirable
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, or Data Science. Experience: Experience processing and managing both image and tabular data. Preferred Competencies Proficiency in Python, BASH, SLURM and PyTorch; familiarity with R. Analytical skills
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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imaging equipment to produce images of the body for diagnostic purposes. Reviews and evaluates developed x-rays, video tape, and computer-generated information to determine whether images are satisfactory