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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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integrating visual data with spatial sensors like RGBD and LiDAR. This Research Engineer (Research Technician 2) role offers the opportunity to work across the full stack of data collection, model training
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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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. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or machine learning are encouraged to apply. The postdoc will also
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developed: Measure and model radar Doppler dispersion caused by wind over vegetated surfaces. Automate transmissivity measurements of navigation signals. Where to apply Website https://seuelectronica.upc.edu
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supporting methods and models that support the plan development and implementation process. Urban planning is closely related to transportation planning. The change in the spatial distribution of demand and
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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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, 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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: The courses are offered January 26, 2026 to May 15, 2026. INFO 615 Spatial Statistics This course covers specialized methods and models that have been created for performing statistical analysis on spatial data