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Postdoctoral Fellow in Machine Learning and Digital Health Services for Frail Older People Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile
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The project, Park Royal Net Zero Food Supply Systems (Park Royal Net Zero - Park Royal Net Zero Food Systems ) is based at the Park Royal Industrial area. Park Royal in West London is one
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Organization Centers for Disease Control and Prevention (CDC) Reference Code CDC-2026-0028 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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science, machine learning, AI, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Fellows apply advances in these fields to computational modeling
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, electromagnetic modelling, and system-level performance analysis. The successful candidate will lead simulation activities using tools such as COMSOL, ANSYS, or equivalent, and support laboratory-based testing
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health-related projects. Primary techniques and approaches will include establishing intestinal organoid in vitro models to test hypotheses relating to mechanisms response of intestinal epithelial cells in
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audio algorithm code base including noise reduction, acoustic echo cancellation, automatic gain control, voice activity detection, packet loss compensation and other audio enhancements Supporting Research
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. Implement domain randomization and scenario variation pipelines for robust sim-to-real learning. v. AI Model Development Support development and evaluation of learning-based control policies using
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software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out
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, econometrics models) applied to economic modelling. Preferred Factors: Will be considered preferred factors: • Excellence of academic background (namely regarding the courses' component of the doctorate program