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, epidemiological, and environmental data Taking part in developing and validating predictive cancer‑risk models Contributing to spatial analysis and data integration in geographic information systems (GIS
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 11 days ago
the A20 mouse lymphoma syngeneic model with anti-mouse PSGL-1. The lymphoma microenvironment spatial composition and immune cell activation states will be characterized by advanced techniques. We also plan
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to design healthier, more active cities? Join the Institute for Risk Assessment Sciences (IRAS) as a PhD candidate “Designing for movement: modelling physical activity in urban environments using Agent-Based
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transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial
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the spatial and temporal transferability of the models. • Projection of the relationships obtained in future climate scenarios using ADAMONT projections to assess how gravitational crisis episodes will evolve
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, they are characterizing how spatial organization shapes these evolutionary outcomes and developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their
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at various spatial and temporal scales, ranging from individual cells to tissues, organs, and full physiological systems. Computational modeling and simulation: development of constitutive laws, finite-element
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stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate, evolutionarily conserved defensive behaviors. Your job As a PhD
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wireless communication systems. The PhD student will carry out specifically the following initial tasks: implementation, and calibration of the microscopy system; electromagnetic modelling of the near-field
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incentives, behavioural drivers, and land-use decisions at the meso-scale (e.g. river basins or regions), using clear case studies. You develop modelling approaches that bridge economic analysis and spatial