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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science
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scientific research by an excellent track record of research outputs and have an ability to work both independently and collaboratively. Excellent written and verbal communication skills, interpersonal skills
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funding. Candidate Requirements The successful candidate will require a proven track record in research fieldwork and historical methodology. In its assessment, the selection committee will prioritise
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processes related to carbon cycling in the soil-plant system Experience with Bayesian inference and machine learning is an asset Ability to work independently and cooperatively as part of an interdisciplinary
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. Our vision and our understanding of supermassive black hole systems have indeed known dramatic progress over the last decade. In particular, they have shown that these objects behave as accelerators
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Research Assistant/Associate Professor (Proteomics and Bioinformatics), Non-Tenure Track - (220000I3) POSITION SUMMARY Location: On-site at the University of Maryland School of Pharmacy, Baltimore
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research of international excellence. Develop research objectives and proposals for own and/or collaborative research projects. Prepare papers for publication in leading journals and/or contribute
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sustain a track record of independent and joint published research to establish and maintain your expert reputation in the subject area. 16. Survey the research literature and environment, understand
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. It is notable that this PhD scholarship is