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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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broadcasting systems and has developed the best in class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing facilities. Established in 2012, 5GIC is the world’s
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(CHX, 11-ID) beamline at NSLS-II seeks a postdoctoral researcher with a strong background in computational imaging, data science, or scientific computing. This position will focus on developing advanced
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is a highly collaborative, creative, and fun group of scientists at St. Jude Children's Research Hospital. Our research program centers on the development of state-of-the-art genomic methods
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into hours, scale evidence review across thousands of studies, and explore many hypotheses in parallel so researchers and clinicians can focus on strategic decisions and patient care. Every solution you build
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. Additional Knowledge and Professional Experience Experience with high-performance computing (HPC) environments and parallel programming (e.g., MPI, OpenMP). Experience with the management and analysis of large
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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 Offer Description We are developing
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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-performance computing (HPC) systems for large-scale data processing, parallelized workflows, and computationally intensive analyses. Demonstrated experience applying phylogenetic and phylodynamic methods
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completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages