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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Bergen
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intelligence, computer science, remote sensing, geomatics, data science, or a forest/environmental science discipline with a strong quantitative or AI component Strong knowledge of machine learning and deep
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selection criteria Good oral and written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL
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written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL programming model Experience with
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important element in the department's research excellence strategy and in BI's vision to become one of the leading research business schools in Europe. The selected candidates will join a group of talented
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reliability theory, probabilistic methods or statistics Strong computational skills, including programming (e.g., Python, MATLAB) and nonlinear finite element analysis (e.g., Abaqus, LS-DYNA) Knowledge
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research direction is the integration of strategic transport models, such as discrete choice modelling (DCM) with agent-based modelling (ABM), to examine potential transport behaviour under different
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
positions for general criteria for the position. Preferred selection criteria Experience in solid mechanics and non-linear finite element analysis. Experience in optical measurements related to experimental
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CAD tools Finite-element analysis and simulation Rapid prototyping and additive manufacturing Signal processing and data analytics, control systems Machine learning or computer vision Product
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for the position is a significant factor in the evaluation. Special Requirements for the Position The University of Bergen is subjected to the regulations governing the Norwegian export control system
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the zebrafish forebrain during defined sensory stimulation paradigms. Functional response properties will be mapped onto anatomically identified circuit elements. Confocal Microscopy and Histology: Use confocal