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Field
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interpretation is subjective, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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language models that can democratize access to reliable health information. Applicants will collaborate closely with PI Emma Pierson as well as other PhD students and postdocs in the lab. Union: https
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resources Help foster a positive, inclusive, and collaborative group culture, supporting newcomers Communicate results in scientific publications and at international conferences Qualifications Must-have: PhD
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of Engineering and Physical Sciences at HWU. The position is open in the context of a large research project aiming to develop a new generation of computational imaging algorithms intended to deliver
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. About NYUAD
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modelling low-resource languages. Applicants are also expected to contribute to work on data pre-processing, tokenization, model training. The candidate will be affiliated to the project group ‘Danish
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including experts in epigenetics, computational biology, and embryo modeling. Undergo postdoctoral training and career development (publishing, funding, leadership, networking, job search). PhD in Life
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on carbon turnover models and the fusion of data science forecasting methods with process-based models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your