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background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas networks, or coupled multi-energy systems Proficient in programming
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, and current AI models diverge from them due to superhuman and unrealistic memory capacities. This 3-year PhD project aims to incorporate biological and cognitive constraints into neural network
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Software for High Energy Physics (IRIS-HEP). The Lab operates the NSF Shared Tier 3 Analysis Facility (https://af.uchicago.edu). The facility supports ATLAS physicists analyzing the complete LHC Run 2
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Doctoral Researcher in Food Materials Science, MSCA Doctoral Network Employer UNIVERSITY OF HELSINKI Location Helsinki, Finland Closing date 9 Dec 2026 View more categories View less categories Job
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both graph-based analysis of research data as a meta-domain and discovery of relevant datasets through both graph search and guided browsing through relationships. Along with Yale managed datasets
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 16 hours ago
evolution of the Pleistocene shallow water carbonate systems. This includes facies analysis, environmental research, diagenesis, pore-network analysis and stratigraphy. Additional ideas will also be
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experience will strengthen your application: Experience with Python, R, Julia, Java, GIS tools, MATSim, transport simulation, network analysis, or similar tools Experience with mobility data, transport
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. Additional Qualifications: Background in bioinformatics systems, connectomics network analysis and machine learning modeling confer a very significant advantage. The shared values of the DGSOM are expressed
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researcher for REGULAIRE, a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network exploring how regulation learns in the governance of emerging technologies. This is a paid, three-year employment
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und Stellenangebote > Academic staff > 2 PhD Positions in Efficient Algorithms and Network Visualization Back to News Board Browse in News 2 PhD Positions in Efficient Algorithms and