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as a change in how firms codify knowledge: prompts, models, workflows, and governance routines make some expertise executable while creating new burdens of evaluation, maintenance, and revision
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Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience, sustainability, and environmental
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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characterization of HIV RNA/DNA in primary material as well as model cells using Oxford Nanopore sequencing and complementary molecular and computational approaches. The doctoral student will help develop, optimize
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" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding. South Carolina
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systems based on absorption high-temperature heat pumps, with particular emphasis on dynamic behavior and system integration. The research will combine dynamic modelling, numerical simulation, and
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on AI-empowered asset management using drone inspections and available asset management historical data. The aim is to enhance the asset and network resilience of ports by training an AI model on ferry
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of the war affect the organization of the fighting parties? More information about the project can be found here: https://www.sv.uio.no/isv/english/research/projects/wow/index.html The PhD Fellow is expected
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strong interest in e-health and digital health services, AI including large language models, and interdisciplinary work. The doctoral studentship forms part of Samverkan e-hälsa , a long-term collaboration
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research program focused on advanced neuroimaging and computational modeling in collaboration with Pediatric Neurosurgery and the Adult Cerebrovascular Division. This faculty member will develop a