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exhibit complex two-dimensional structures whose performance is governed by subtle variations in layer stacking and nanoscale disorder—features that are difficult to resolve with currently available
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. Experimental studies will be performed in wind tunnels with advanced measurement techniques with high spatial and temporal resolutions. Realistic car models (DrivAer models) will be considered in this study and
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positions for the Department of Physics at Oregon State University (OSU). This position performs scientific research in physics under the supervision of a faculty advisor. Interested applicants must first
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computational and theoretical physics/chemistry. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial
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NEST project RAM³, which aims to enable the use of recycled aluminium in high-performance applications through machine learning, computer vision, and materials science. The focus of this position is on
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. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial. What we offer: We offer a position with a
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science or health-related discipline WORK EXPERIENCE Preferred Some laboratory experience SKILLS Required Proficient communication skills Maintains a high degree of professionalism Demonstrates time
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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are as follows:1. Design of high-performance and special electrical motors. This mainly includes high-speed/high-power density drive electrical motors for electric vehicles, high-precision servo electrical
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theoretical chemistry/physics, condensed-matter physics excellent results on individual performance criteria (e.g., manuscript/publication resulting from Master thesis, awards) and timely completion of higher