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in parallel with a program of invitations to collaborators, doctoral and post-doctoral students, special guests, etc. The latter brings additional funding to the Chair, as well as international
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2025 - 08:12 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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of this phenomenon at the levels of both whole-brain dynamics and connections between individual neurons? If this excites you, then this postdoctoral position may be right for you! Recent theoretical and computational
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The National Energy Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher – Quantum Computing Simulation (NESAP @ NERSC) postdoctoral
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                University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
. Established in 1950, it was the first school of nursing in North Carolina to offer a four-year baccalaureate nursing degree program followed by the first master’s degree program, the first continuing education
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the Edinburgh Parallel Computing Centre), the Generative AI Lab, and the Centre for Technomoral Futures. The successful candidate will contribute to both theoretical analysis and computation experimentation (in
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therapies for the treatment of corneal diseases. One research program investigates the microenvironment/niche of human limbal stem cells to elucidate those factors that govern the fate of limbal stem cells
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4 Oct 2025 - 23:59 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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for massively parallel computers. Experience with quantum many-body methods. Preferred Qualifications: A strong computational science background. Familiarity with coupled-cluster method. Understanding