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side by side with private companies and actors from the healthcare sector. Several key infrastructure facilities are available, including specialized laboratories for spatial omics, mass spectrometry, flow
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, ultimately aiming to find better treatments for patients with cancer. This position is intended to provide experimental support by working in the laboratory of physician scientist Dr. Christine Eyler (https
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studies of human tissue and several in-vitro models. The group has for many years been at the forefront of the field and has established collaborations with several international research groups. The group
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data. Develop and apply machine learning models to estimate uncertainty in climate impact statements. Analyse spatial and temporal patterns and trends in climate-extreme impacts. Cross-validate
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. Developing relevant modelling tools to support comprehensive analyses of livestock systems. Assessing environmental impacts of current livestock production systems and evaluating potential outcomes from
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comprising computational biologists, bioengineers, and immunologists. The candidate will have access to advanced platforms for single-cell and spatial omics, 3D tissue modeling, bioreactors, and in vivo models
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behaviour Mediterranean terrestrial gastropods as model organisms of island fragmentation due to Holocene ocean transgression Phylogeographic and systematic studies of molossid bats of the Old World
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on different temporal and spatial scales, using deterministic models and, if necessary, high-performance computing. SCIENTIFIC DISCIPLINARY SECTOR: GEOS-04/C-Oceanography, Meteorology and Climatology PHIS-05/B
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project (www.bigdatpol.com ), we are looking for a doctoral researcher with a strong interest in AI-driven analysis, modelling and decision support. About the project Crime and security constitute a
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of observed meteorological elements at all spatial scales. ICV also constitutes an important source of uncertainty in climate model outputs, especially regarding the occurrence of climatic extremes. Furthermore