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Field
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(using fossil pollen and charcoal records dating back 10,000y), and PhD results and data will be used to adapt and parametrize an individual-based, spatially-explicit dynamic forest model to predict future
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real-world test flights to validate system performance on an innovative VTOL platform (https://aerogriduav.com/). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab
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their involvement in disease resistance under controlled conditions. Our model system is the bacterial pathogen Xanthomonas campestris pv. campestris (Xcc), which causes black rot disease in cabbage
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-based, spatially-explicit dynamic forest model to predict future fire resilience of Amazon forests. Your duties and responsibilities include: Leading field campaigns, and being willing to spend long
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strategies for SNAREopathies". We use technology to produce human neurons and create human neuronal networks in vitro that severe mental disorders, such as the model SNAREopathies are a diverse group of brain
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, 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 segmentation, enabling
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around us? At Maastricht University, you will investigate how individuals differ in predictive processing by combining behavioural and neural testing with computational modelling. Together with colleagues
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale
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orbit. The successful candidate will be required undertake a broad range of tasks including modelling shading pattern for an Earth-orbiting sunshade, measurement and data analysis strategies to extract
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but