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will be working in an experimental lab, performing data collection, analysis, and modeling of behavioral and electrophysiological data. Applications are invited to apply for a statistical data analysis
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completion of project deliverables including but not limited to; the preparation of mapping documents, data formatting, and performing advanced GIS analysis. Using GIS tools, geometry types and spatial
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professional support in areas of moderate to advanced complexity, including spatial analysis, modeling, and geospatial systems research, to help evaluate business objectives, define user requirements, and
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technologies to assess the multicellular environment within three-dimensional microtumor models. The project focuses particularly on understanding how the tumor microenvironment (TME) undergoes architectural
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, intensity) in the vicinity of sound sources, providing a precise spatial and frequency-domain representation of acoustic radiation. Introduced by Williams [1], acoustic holography has gained widespread
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the bubble size and spatial distribution, making it possible to induce and study different flow regimes (from homogeneous to highly heterogeneous) and to observe the transitions between them. These controlled
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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modelling in transdisciplinary processes in order to examine ecological and socio-spatial change, existing biodiversity governance regimes and develop multispecies ethnographies to better understand
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tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices, with emphasis on micro- and nano-fabrication and optical technologies for sensing