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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Experience with one or more of the following areas is strongly preferred: Single-cell RNA-seq, single-cell ATAC-seq, CITE-seq, single-cell DNA copy number, or multi-omics integration. Computational analysis
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for next-generation information processing, microelectronics, wireless communication, and quantum information science. Key Responsibilities: Develop terahertz coplanar resonators, including design
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, implementation and evaluation of multi-robot scouting methods suitable for wheeled-legged systems in physically-realistic simulated environments and on real robots. You will hold or be close to completion of a PhD
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). The project involves international collaborations, with dedicated funding available for conference participation, research visits, collaborative activities, and computing equipment. Selection process Applicants
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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& Medicine. Department: Res Dept of Biomedical Computing. Contact details:Dr Sarah Morgan. [email protected] Location: St Thomas Hospital. Category: Research. About Us The applicant will work as part
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(LHCb) physics program at the Large Hadron Collider (LHC). This group is actively participating in the design and realization of various hardware projects in support of the LHCb and electron ion proton
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engineering, process engineering or a closely related field, demonstrated through publications. Experience of mass balances, flow simulation or separation and recovery techniques (e.g. distillation, membranes
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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modeling with an understanding of numerical methods and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific