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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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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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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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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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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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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
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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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Job related to staff position within a Research Infrastructure? No Offer Description Development of theoretical models to describe the collective migration of immune cells Development of models
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Università degli Studi di Padova - Dipartimento di Biomedicina Comparata e Alimentazione | Italy | 6 days ago
to be used as inputs for the ecological forecasting models Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information Eligibility criteria Eligible destination country/ies
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Revenue Analyst (Strategic Modelling) is a senior specialist role responsible for leading the development and delivery of high-quality student profile and revenue forecasting models that inform RMIT’s