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for modelling various cognitive processes on a neuroscientific basis, which are tested using robots. Areas of study include perception, memory, learning, cognitive development, attention, motor control and
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, associate or full professor) in teaching and research, with an expected start date of August 2026. Applicants must hold a Ph.D. We welcome scholars whose expertise engages geographical/spatial issues across
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multidisciplinary experience in combining integrative computational immunology – data-driven, state-of-the-art single cell resolution and spatial methods, machine learning and kinetic modeling – with integrative
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sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in
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electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across modalities for improved spatial resolution and
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AID with advanced fluorescence microscopy and collaborating with theoretical biophysicists to model IFT dynamics. Key responsibilities Develop and optimize the AID2 system in C. elegans to control
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, responsible, and organized postdoctoral researcher to develop mathematical models of adaptive stress regulation. These models will inform empirical research with humans. Join our team! We invite applications
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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and tourism. The recruited person will carry out the following tasks: • Application of distributed hydraulic and hydrological models to simulate water behaviour and sediment transport in the pilot
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling