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Field
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Develop models to trace global material and financial flows, uncover bottlenecks, and assess how resource and investment constraints shape pathways to a feasible clean energy transition. Job
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Join our ERC SPHINX Team to model how climate risks ripple through housing markets. Help uncover when homes become stranded assets and fuel systemic impacts. Help shaping climate resilient policies
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Programming Intelligent Modelling and Analysis Mixed Reality Lab Lab for Uncertainty in Data and Decision Making Visualisation and Computer Graphics Responsible Digital Futures The studentships available
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 14 days ago
5 Nov 2025 Job Information Organisation/Company Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy Research Field Computer science » Modelling tools
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as host model (Bartfeld lab) Immune–Metabolic Adaptation in Pregnancy: Implications for Offspring Health (Diefenbach lab) Variant Surface Antigen Expression in chronic Plasmodium falciparum carriage
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Infrastructure? No Offer Description Join our ERC SPHINX Team to model how climate risks ripple through housing markets. Help uncover when homes become stranded assets and fuel systemic impacts. Help shaping
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Computer Science, Mathematics, or related areas. • Strong background in at least one of the following: formal methods, SMT solving, abstract interpretation, or model checking. • Experience with verification tools
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? As a key member of the
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? Meso-level modelling (e.g. at the level of river basins or provinces) could find an answer to these questions by bridging global and local perspectives and capturing both fine-scale landscape patterns
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maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods