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test current theories in fluid mechanics and for the resulting data to become the fundament for new mathematical models. You will refer to Professor Maiken Nedergaard. Profile We are looking for a highly
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contribute to patents or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and
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will analyse quantitative imaging data from a variety of sources, including Spatial Transcriptomics and Multiplex Immunofluorescence platforms, for validation and calibration of mathematical models. You
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data, and package the best models for industry use. You will also contribute to a joint catalogue of energy-aware SQL optimizations together with Roskilde University and the Software Improvement Group
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project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and
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water management. Task Description: Development and calibration of SWAT and MODFLOW models for surface and groundwater systems. Analysis of hydrological and climatic data. Application of the WA+ water
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silico work, including sequence design, data analysis, experimental planning, and writing publications. The postdoc will work closely with the PI and a PhD student. An ideal candidate must hold, or be
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Responsibilities: Digital Tool Development:Develop digital tools to monitor and analyze the determinants of urban health using sensor data, public databases, and GIS. Predictive Modeling:Design predictive models
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degree may have been completed earlier. In addition to the above requirements for the position: PhD in molecular biology, biochemistry, or a related field Experience working with mouse models (perform
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spatially-resolved models of metastatic outgrowth in the liver which account for interactions between stromal, immune and tumour cells. You will analyse quantitative imaging data from a variety of sources