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Research Infrastructure? No Offer Description The requested figure will be responsible for developing and implementing both machine-learning methods for analysing images and audio files in Python, as
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Offer Description This project investigates vibration-based methods for monitoring the structural health of deep underground tunnels throughout their lifetime. Structural Health Monitoring (SHM) based
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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Grant Regulations. Where to apply Website https://apply.uc.pt/IT137-25-569 Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Research FieldEngineering
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group (https://sbnb.irbbarcelona.org ), led by Dr. Patrick Aloy, to work on Systems Medicine approaches in the context of the CLARITY European collaborative project. Viral infections, together with human
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
medium. Methods of investigation may include analyses of archival multi-wavelength observations from space- and ground-based facilities, as well as new observations and analyses. Additional interests
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priorities and ensure efficient use of time and resources. Able to exercise independent judgment. Knowledge of molecular biology testing methods and associated instrumentation Email to a Friend https
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Service Laboratory (NPSL). Develop, validate, evaluate and implement new methods in clinical and forensic chemistry, following all safety and laboratory policies and procedures, maintain required
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Glassdoor's "Best Places to Work". St. Jude is one of the best-funded research institutes in the US with an annual budget of over $2 billion per year (https://www.stjude.org/about-st-jude/financials.html). What
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the following conditions: 1. Scientific Area: Computer Engineering 2. P. (CETP/0003/2022", under the following conditions: 1. Scientific Area: Computer Engineering 2. Admission requirements: a) The candidate must