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degree TUITION FREE A generous retirement plan and so much more! Salary Grade: T23 Salary Range: $32,000 - $45,000 Learn more about the “T” salary structure here: https://careers.temple.edu/sites/careers
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safer, more reliable, and more sustainable renewable energy systems. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods
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the project: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate
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project aims to develop and apply computational protocols to model the properties of the HFIP solvent and to investigate their influence on chemical reactivity. Develop and apply computational protocols
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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& reproducible code) Experience with natural language processing tasks (in R or Python familiarity with common tasks such as sentiment analysis, topic modelling, classification using transformer-based models
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the fine modeling of lithium-ion and sodium-ion batteries. The team contributing to HIPOBAT includes the present position, a PhD student, another researcher, a research engineer and an associate professor
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https://main.hercjobs.org/jobs/21927746/art-model Return to Search Results
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, Data characterization and analysis, Development of dashboard and visualization systems, Development of artificial intelligence models and user interfaces necessary for the system along with
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Offer Description Completion of doctoral thesis related to: - Modelling of the geometry for the simulation of the detectors - Meshing of the geometry - CFD simulation - Analysis of the results