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and groundwater flooding (groundwater rise). Strengthening hydrological and hydrogeological monitoring, coupled with better integration of geological knowledge into spatial planning and supported by
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on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the objectives to achieve: The workplan proposed comprises two topics, each to be tackled by each studentship offered: Topic 1 - Automatic
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ovarian cancer. The laboratory has about 15 members investigating the role of metabolism and methyltransferases in ovarian cancer metastasis. We use a variety of cutting-edge methods, including spatial
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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
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) We offer Funding: Full position
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in Quantitative Eco-Epidemiology (Plague) Apply for this job See advertisement About the position Postdoctoral Research Fellow in spatial and computational disease ecology and epidemiology, focusing
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., Pettersson, H., Behrens, A., Männik A., 2018. Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea. Ocean Engineering, 152, 57–71. https://doi.org/10.1016/j.oceaneng
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can be inhibited, leading to a form of topological delocalization. This phenomenon has never been experimentally tested. The proposed internship will contribute to the preliminary design and modeling
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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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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