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multimodality gastrointestinal, oncological, musculoskeletal and neurological imaging, as well as medical physics, statistical methodology, health economics, modelling, and health behaviour. The academic
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: www.zhulab.com The candidates will focus on one or two of the following projects: Developing predictive toxicity models for assessing new environmental pollutants, nanoplastics, and environmental mixtures
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-driven mathematical modeling in a transdiagnostic clinical cohort. https://impact-mh.org/awardees/impact-mh/ IMPACT-Y is collecting repeated measures from approximately 2,400 individuals across multiple
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expand and improve an existing modelling framework to predict direct and indirect nitrous oxide and methane emissions from agriculture. You contribute to the following activities: Performing a SWOT
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"Models development using artificial intelligence algorithms for mass gain/scale thickening, internal oxidation prediction based on high temperature exposure in oxidizing atmospheres". Main Duties
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, RNN, or Transformer-based models) for word and phrase recognition. 5) Implementation and exploration of language modeling methods to improve phrase prediction and reduce recognition errors. 6
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are especially encouraged to apply. DS/AI-driven Biological, Biomedical, and Life Sciences, including structural biology, macromolecular design, genomic foundation models, computational neuroscience, predictive
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, feature matching in self-supervised audio representations, and reference-free audio quality prediction. Integrating watermarking capabilities into deep audio generative models, including extensions
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tolerance and predicting fatigue life and device performance. This position aims to understand how inclusions and surface defects affect the fatigue life of Nitinol used in medical devices. The researcher
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. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven modeling (machine learning