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will involve a combination of longitudinal, descriptive, and cross-sectional studies to better understand the bidirectional influence of training and match-demands of tier 3 football during
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objects and segmentation models for a robotic pick and place project. Develop data augmentation/data synthesis methods to address challenges from limited training data. Develop algorithms to annotate 2D
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period(s) they are hired for; models may work as many time slots as possible that fit their schedules. We are currently hiring for the Spring 2025 semester; we hope to carry available models through
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Apply now Job no:501445 Work type:Full time Location:Hobart Categories:Research Focused Develop the coupled ACCESS-OM3-ISSM model and conduct technical testing, validation, and calibration Develop
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degeneration using knock-in models of inherited retinal diseases, and contributing to the development of novel therapeutic platforms. The successful candidate will conduct independent and collaborative research
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description - Analyze economic models
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of the time could be used to check and update the GRAVITY and MATISSE noise models. The application to real data will imply data processing of VLTI and ERIS data Specific Requirements Required skills
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NSF-funded project on understanding tremor propagation (TP) in the human upper limb through advanced musculoskeletal modeling, muscle fatigue modeling, and simulation of tremor-suppression devices
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Energy Districts through citizen-centered socio-technical models for upscaling of the heat transition – seeks to tackle this challenge by involving key stakeholders (citizen groups, municipalities, housing
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complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop predictive models