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visualization and decision-support tools to communicate results to technical and non-technical audiences. Publish research in peer-reviewed journals, contribute to sponsor reports and technical deliverables, and
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for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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the English Department of Indiana University – Bloomington (IU), HBW endeavors to build a collaborative intellectual community to engage in dialogue about the recovery and preservation of literary texts, public
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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or related techniques, and/or (3) computational biology are encouraged to apply. Lab overview: The communication between cells and their environment depends on decoding of extracellular cues into intracellular
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit The UNC
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. Proficiency in code development of tensor networks or DMRG in MPS/MPO language to meet dynamic project demands. Demonstrated expertise in coding within HPC environments, with strong proficiency in reading and
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, sensors, and computing devices). The ability to communicate effectively with research participants, clinicians, and team members is essential. Education/Training EXPERIENCE: Demonstrated track record