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modeling and genomics data analysis. This is an excellent opportunity for a recent graduate with a strong quantitative background to gain hands-on research experience at the intersection of computational
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operational data from Alliander, with regular on-site visits and direct access to the practitioners who will use your models for congestion forecasting, spatial energy planning and flexibility assessment. You
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 15 days ago
/2022. The successful candidate will support research activities related to GIS, spatial statistics, accessibility modelling, territorial typologies and dashboard development within an international
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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interdisciplinary research environment combining urban studies, architecture, data analysis, and spatial modeling. Responsibilities: Complete and refine interoperable datasets for selected cities using available data
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, variable-density groundwater flow and fresh-salt transport modelling, field evidence and applied spatial decision support. You will improve and apply an existing calibrated, high-resolution groundwater model
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equation models for Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. New mathematical models will be informed by longitudinal experimental data, including multiplexed spatial
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relevant to conservation and management of the nation’s natural resources. Research projects are related to modeling spatial and temporally misaligned datasets in order to understand impacts of White-nose
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spatial and remote sensing data for surveillance for zoonotic and vector-borne diseases across Southeast Asia. This position offers the opportunity to work on ground-breaking research projects in the broad
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on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research directions include: ● Generative models of cell–cell