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Field
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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(Chetoui et al., 2022). Based on preliminary results, it is considered that adjusting cross-links (Lavrand et al., 2024) and GAG content (Scomazzon et al., 2021), on geometrically controlled structures, is
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control) the arrangements of cells in spheroids and tumoroids. The project will primarily involve the development and testing of machine learning techniques based on biophysical simulations to predict
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of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in psychiatric disorders
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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contribute to phenotype. The role: The Borrill group seeks a postdoctoral researcher to investigate the genetic control of cold tolerance in bread wheat. The post-holder will design, optimise and carry out
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based on performance and available support. Environment and Opportunities The lab focuses on developing AI methods to improve patient diagnosis, prognosis, treatment response prediction, and treatment
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imaging program involving molecular oncologists, cancer biologists, computational biologists, and imaging scientists focused on detecting breast cancer and predicting response to therapy. The position is
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mathematical foundations of emerging digital twin frameworks, and the theoretical aspects of ML. Research & Algorithm Development: Develop advanced algorithms to predict complex health trajectories, simulating
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-edge generative and predictive methods for materials discovery, we offer an excellent opportunity to advance your research. We are seeking a highly motivated and talented postdoctoral researcher to join