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to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi-modal data into interpretable, scalable prediction and advising models. ICARUS
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. The deadline for applications for this Fall Call is April 20, 2026. Please submit your application to our PhD program or our MD-PhD program online. Where to apply Website https://www.fmi.ch/education-careers
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to metastasize and colonize distant tissues using mouse models, in close collaboration with the Bentires Lab at the University of Basel. This PhD project is fundamentally driven by hands-on experimental in vivo
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mouse models, in close collaboration with the Bentires Lab at the University of Basel. This PhD project is fundamentally driven by hands-on experimental in vivo mouse work; therefore, candidates must
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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd
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Your position The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical
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, preferably Neuroanatomy, and using model systems relevant to human development or disease. You will also be expected to secure competitive research funding and publish high-quality papers in your field
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
different scales, with the aim to improve our understanding ofthe role of snow in the climate system. Within our Snow Physics group, we are looking for a Postdoc in "Improving understanding & model
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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By