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to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https
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Integrated 3D Surface and Below-Surface Models”, ref. 3DURBs/I&D+i/IPLeiria/2025, financed by IPLeiria in the following terms: . SCIENTIFIC AREA: Civil Engineering, Territory Planning and Management
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increasing storm intensities threaten the Belgian coast. Dunes serve as a natural safeguard, but they face significant erosion risks from wave overwash. This project aims to enhance the XBeach coastal model by
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how alterations in brainstem circuits contribute to the onset and progression of Alzheimer’s disease. Murine translational models will be used. Electrophysiology and monosynaptic viral tracing will be
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mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity.html ), we
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and resilience in Cyber-Physical Systems through four integrated pillars. First, it develops hybrid frameworks for fault and attack detection that combine physical and cyber models with advanced
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this context, we are seeking to attract talented young researchers willing to develop and apply new computational models/methods based on multi-omics data integration in relation to cardiovascular, immunerelated
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business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and
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be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition
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of the SU(N) Fermi-Hubbard model and its low-temperature phases at the microscopic level. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1003