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Pecero Sanchez: and Nada Drais: . Your profile PhD in Computer Science, High-Performance Computing, Computational Science, or a closely related technical discipline, with experience or strong interest
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convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles. Potential
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will have a strong background in research processes, including report writing, and producing high-quality publications, with experience in cardiovascular modelling, fluid–structure interaction or high
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Contract: 1 year, renewable depending on performance and project duration Salary: Starting from 3 million Korean wons with additional incentives with high impact journal publications Application Materials
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understanding of thermal-fluid system architecture, including component-level behavior (e.g., heat exchangers, compressors, refrigerant cycles, control valves) and their integration into system-level performance
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at the UMIC in resolving methodological and technical issues. Developing and implementing suitable procedures for scientific data management on the High-Performance Computational Cluster. Participating in
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following areas is desirable: collection and analysis of dense nodal seismic datasets, ambient noise tomography, high-performance computing, machine learning applications in observational seismology, and
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leading role in detector operations and in major upgrade efforts, including the ITk Pixel detector and TDAQ systems. The group is also actively advancing work in high-performance computing (HPC) and machine
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defect formation in halide perovskite thin-films. Halide perovskites are a class of low-cost, high-quality semiconductor materials which have the potential to enter and make significant impact in
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No. PS 2026/4 The Young Investigator Group Magnons: X-rays and Models is looking for Postdoc (f/m/d) Development of X-Ray Spectroscopy Techniques for Magnetic Materials Your Tasks You will perform X-ray