374 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" Fellowship positions
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] Subject Areas: Physics / Condensed Matter Physics , Condensed Matter Physics; Condensed Matter Theory; Computational Physics; X-ray Spectroscopy; Electronic Structure; Ultrafast Dynamics , Condensed Matter
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Renewable is subject to performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12
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Environment Standard office environment. Unexpected interruptions occur often and stress level is moderate to high. Noise level is quiet to moderate. Physical Activities Ability to work in front of a computer
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, balanced homodyne detection; keywords in theory includes: relativistic quantum information science, quantum field theory, quantum optics, quantum fluctuations of the vacuum, Unruh-DeWitt detector model
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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 Simula UiB (https://simula-uib.com ) is a
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Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology
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University seeks outstanding postdoctoral fellow applicants to join a collaborative research team focused on developing crisscross DNA micron-scale structures for applications in optical computing. In
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well as the specific areas of science and engineering detailed above, the University of Manchester and Dalton Nuclear Institute have a strong desire to develop further capability in: Nuclear generated heat, storage and
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Renewable is subject to performance if the candidate is enrolled in a MSc program - art. 6º, n.4 b) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12
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. This role focuses on developing and applying AI and deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects