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settings Where to apply Website https://www.academictransfer.com/en/jobs/354386/postdoc-position-on-reinforceme… Requirements Specific Requirements PhD in Computer Science, Biomedical Engineering, Data
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obtaining external funding and project management Where to apply Website https://www.academictransfer.com/en/jobs/354387/postdoc-position-on-deep-learni… Requirements Specific Requirements PhD in
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https://www.academictransfer.com/en/jobs/354348/postdoc-position-on-ai-based-tr… Requirements Specific Requirements PhD in a relevant field (e.g., medical imaging, computer vision, AI) Expertise in
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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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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
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with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
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timescales, for various climate states and ice sheet geometries. As training data, precipitation fields from the regional climate model RACMO will be used, which is a leading model in this field and developed
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Research Institute for Oncology and Reproduction, the MAASTRO Physics Research Division plays a leading role in advancing image-guided precision irradiation and realistic disease modelling. As postdoctoral
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in this kind of environment will result in models too large to be handled and too instable to be solved. Data-driven approaches need to be used in addition to enrich the physics-based models
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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