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preferred) · Strong commitment to EDI · Basic ability in computer design software and content management systems · Ability to adapt to new technologies and an understanding of the optimal
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Researcher in the field of additive manufacturing and computational design, focusing on topology optimization and residual stress modeling of Ni₃Al-intermetallic based alloys alloys produced via laser powder
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. Experiment with architectures such as EfficientNet, YOLO, Vision Transformers, and other modern computer vision models to determine optimal approaches for the application. Develop strategies for handling
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In partnership with and in support of administrative stakeholders, the Business Information Technology team designs, develops, configures, enhances, optimizes, and maintains products and platforms
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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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Impact - Carbon Footprint Modeling: Extend existing frameworks to estimate the CO₂ emissions of AI deployments, accounting for both compute and network energy use. - Optimization for Sustainability
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | about 1 month ago
Description Analysis and development of methodologies to accelerate the computation of numerical optimization through parallelization and the use of GPUs. Where to apply Website http://www.unibo.it Requirements
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
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- 21:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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the ability to harness and optimize massive computational resources. However, this rapid growth in computational demands comes with a critical challenge: energy limitations. Around the globe, new power plants