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. By elucidating and quantifying the underlying processes in temporally and spatially resolved radiotracer studies (particularly regarding the adsorption and desorption kinetics on sheet silicates), you
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, multivariate statistics, spatial and spatiotemporal analysis, sports analytics, and statistics and data science education. We seek candidates who will complement and extend these research areas. We seek
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candidates will have: A PhD in Environmental and Energy Economics with a focus on Stated Preference methods applied to CCS, including spatially driven demand and acceptance. Published papers and/or PhD thesis
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Specialist will be a member of the Department of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz. The position contributes to the INTERREG
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M.Phil./Ph.D. research programmes in urban and regional development and governance, spatial economy and planning, transport studies, urban analytics and smart cities, housing studies, healthy cities and
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material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics with realistic material constraints and
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developing mathematical modelling and observational data analysis using high spatial, temporal and spectral resolution state-of-the-art solar telescopes (e.g. SST and/or the 4m aperture DKIST). There is also
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
role responsible for generating spatial transcriptomic and proteomic optical imaging data of human and non-human primate brains, utilizing the novel technology pipeline established by the Chung Lab
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immune surveillance system and its importance for the fish defense against infectious diseases in aquaculture. The successful applicant will join Julien Resseguier’s “Spatial Immunology & Nanomedicines
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial