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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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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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Computer at Chalmers (QC2) group which is part of Wallenberg Centre for Quantum Technology (WACQT), a long-term initiative aimed at advancing Swedish quantum technology. You will be part of large team
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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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Applied Mathematics - analysis and optimization - starting September 1, 2026. This is a tenured position. The candidate must have defended a doctoral thesis in mathematics or computer science at the date
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Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern CPSs—such as industrial automation systems, autonomous platforms, and
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. Read more: https://wasp-sweden.org/graduate-school/ Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for
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modernization. Key Responsibilities Lead design and delivery of enterprise-grade data pipelines (ETL/ELT) using SQL/Python, supporting high-volume, high-complexity healthcare data. Build and optimize a modern
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 days ago
12 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile Recognised
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orchestration in Kubernetes (e.g., NVIDIA device plugin, GPU scheduling, MIG, node affinity). Experience optimizing GPU utilization, memory management, and cost efficiency for compute-intensive workloads