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for establishing a research group dedicated to quantitatively assessing system-level implementation and market potentials of innovative climate solutions. This includes modeling climate solutions spatial and socio
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ACCE+ DLA Programme: Assessing the Future Effectiveness of Spatial Conservation Networks in tetrapods School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Gavin
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resolution (such as MEG or intracranial EEG) may also be considered, in combination with behavioral recordings and computational modeling. Where to apply Website https://www.unitn.it/ Requirements Additional
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. This project requires high-end skills in Geospatial Engineering & Technology including GeoAI, Geospatial Model Building, Remote Sensing Data Analyses, Advanced Image Processing, Data and Image Mining along with
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-wide initiative to build foundation models that simulate the evolution of tumor ecosystems. You will be the lead engineer contributing to large-scale generative modelling on single-cell, spatial-omics
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, marking a bold step toward a more collaborative, challenge-driven model of research. Team Science Scientific breakthroughs rarely come from isolation—they emerge when brilliant minds connect. Our Team
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analyses of public and confidential datasets relevant to the funded projects. Responsibilities include applying causal inference, spatial econometric, and multilevel modeling techniques to examine the
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and transcriptomics. Analyzes spatial transcriptomic datasets to uncover tissue organization and disease states. Develops integrative models combining genomics with pathology images or time-series data
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and chemical oceanography and the intersection of these disciplines. Potential research lines could focus on spatial and/or temporal aspects of e.g. ocean carbon cycling, physical oceanography, ocean
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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