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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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for low-frequency railway vibrations—bridging experiments, modelling, and sustainable railway innovation. Interested? Job description TU Delft, in collaboration with ProRail and Cohere Consultants, invites
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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
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adaptation, and infrastructure resilience. This project will tackle that challenge by developing a new blended UK precipitation dataset at high temporal (15-minute) and spatial resolution. The student will
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comprehensive training aimed at building essential scientific and transferable skills. Job Duties: Implementation and bioinformatic evaluation of transcript- and protein-based spatial single-cell multi-omics
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of Southern California Sol Price School of Public Policy Adjunct Instructor of Urban Planning Department of Urban Planning and Spatial Analysis The USC Sol Price School of Public Policy is seeking a working
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computational biology research, in particular in single cell and spatial domains, applying AI/ML models in translational or clinical research. Project Leadership Experience: Demonstrated ability to manage complex