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or other ML-based techniques for robot control is considered a plus. You have excellent computer science skills (python, git, linux, ROS, etc.) . You have hands-on experience with machine learning
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centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and
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Experience in Multiphysics modeling in solid mechanics framework Experience in non-linear solid material response and fracture modeling Experience in machine-learning modeling for solid mechanics applications
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Experience in Multiphysics modeling in solid mechanics framework Experience in non-linear solid material response and fracture modeling Experience in machine-learning modeling for solid mechanics applications
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Experience in Multiphysics modeling in solid mechanics framework Experience in non-linear solid material response and fracture modeling Experience in machine-learning modeling for solid mechanics applications
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–functional modeling of root system architecture. Phenomics data integration and high-dimensional trait analysis. Predictive breeding and quantitative genetic modeling. Machine learning approaches to
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(EpiGen; https://epigenahuscom.wordpress.com/) at the University of Oslo, Ahus Campus, Lørenskog. EpiGen is a joint research unit established by the University of Oslo (UiO) and Akershus University
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Engineering (https://atomicfilmslab.org) and will work closely with the computational, device, and simulation teams, as well as with the education and mentorship teams comprising ASWESOME. This position
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· EMED: An Ethical Mixture-of-Experts Digital Twin Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered
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that improve precision oncology and patient outcomes. More information about the lab can be found here: https://www.nathlab.org As a successful candidate, you will: Develop AI/ML models to