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Field
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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with
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correlate the findings with prognostic parameters, refining the prognostic value of the Immunoscore for MuM in order to identify predictive biomarkers and refine TME-based therapies. Project aim: The aim
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. This includes extending or adapting existing scenario modelling approaches to support increasingly complex cybersecurity exercises. RO3: Investigate simulation and predictive modelling approaches
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
the application of various ML algorithms, including supervised algorithms for environmental predictions, as well as unsupervised algorithms for clustering and LLMs/Transformers Experience with sequence data
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the function of unknown genes and predict mutation impact , for personalized medicine Repurpose existing drugs to new diseases Identify potential therapies for bipolar disorder and psychosis , based on cell
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environmental challenges? Join the Department of Physical Geography at Utrecht University as a PhD candidate and help shape the next generation of geospatial modelling. Your job Predicting ecosystem dynamics
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quantification, structural response prediction, and digital twin capabilities using data generated from high fidelity CFD-FEA simulations, experiments and field measurements. The position offers the opportunity
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position for a research assistant, COR code 213147, as part of the project “Center of Excellence in Research for Promoting Climate Neutrality and Resilience through Agriculture (AgroCliN),” a project
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
simulations are a key tool for testing scientific hypotheses and predicting the evolution of these systems. However, their computational cost remains prohibitive, particularly at large spatial and temporal
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in the fermentation process. Participate in the development of a comprehensive digital twin for monitoring, prediction, and control of fermentation processes. Work cooperatively and constructively