Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse
-
Koplev lab is recruiting an outstanding and ambitious postdoctoral researcher in computational biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will
-
analytical models. A deep understanding of environmental systems, spatial data processing, and the integration of multi-source information will be essential to ensure high-quality, science-based outcomes
-
-oriented events and contribute to strengthening its visibility and engagement with global research and innovation ecosystems. Qualifications Applicants must hold a PhD degree in electrical/electronics
-
Research Foundation), the Research Group Functional Architecture of Memory (FAM) at the Leibniz Institute for Neurobiology in Magdeburg (Germany; PI Magdalena Sauvage) is seeking a highly motivated PhD
-
–vascular interactions, and spatial transcriptomic modeling. About McGill and Montreal Montreal is one of North America’s leading centres for research and innovation, home to world-class institutions such as
-
, developing spatial statistical models, and translating results into actionable insights for policy and adaptation. The strength of the project lies in its interdisciplinarity, combining atmospheric science
-
Modelling Tumour Dynamics and Radiotherapy Response: Towards Sustainable and Energy-Efficient Cancer Treatments A PhD position is available in the Department of Physics at the Universitat Autònoma de
-
of Sustainability and Planning https://vbn.aau.dk/en/persons/jja This position is specificallyaboutmodellingcascading and compound impacts of climatechange on future Danish land use in which spatial data analytics
-
://past2future.org ) with 24 partners. It has recently been funded by the EU horizon program. The aim of the position’s subproject here is to use latest spatially downscaled climate model results for the past (mainly