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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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between the University of Plymouth and Cornwall Partnership NHS Foundation Trust, starting in May 2026. About the role The purpose of the role is to develop and apply mathematical models and computational
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with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead of time-consuming simulations to evaluate scenarios for improving the user experience along cycling and
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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
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least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ); knowledge of German is beneficial Our Offer: We work on the very latest issues that impact our society and are offering you
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into this type of research: actual nerve biopsies from patients with Charcot-Marie-Tooth neuropathy due to YARS1 mutations, along with matching iPSC-derived motor neurons and Drosophila models. Now, we
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performance. Microbial community analysis. Modelling of the anaerobic digestion process. Communicate and disseminate research results through high-quality scientific channels including high impact scientific
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.) Knowledge of data warehousing principles, including data quality, data enrichment and standardization, and data modeling. Knowledge of data warehouse architecture patterns, such as star schema, One Big Table
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39133 Job Number SE179024 Position Information Department or Unit Name Fowler School
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of an academic degree or in a non-degree course, must be submitted by the time of contract signing. Apply online clicking on the “Apply Now” button in this form https://www.it.pt/Positions/OtherResearchPosition