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techniques, including KKT conditions or ADMM algorithms, would be appreciated • Interest in flexibility management, game theory, equilibrium problems, or multi-energy systems • Strong analytical, research, and
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traffic flow theory and simulation. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your
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. This may be extended to include potential flow theory based modelling as well. Develop deep learning surrogate models for fast prediction of motions, stresses, and loads Validate the deep learning model
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made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria Solid understanding of control theory, including classical and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
processing data streams, with theories and methods for planning and logistics. The PhD research will focus on AI-enhanced planning of operations in shipbuilding supply chains, examining how AI techniques can
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, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their
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the position of PhD Candidate, code 1017, your gross salary will normally be NOK 580 000,-per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted
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coupled-cluster (EOM-CC) theory with periodic DFT (pbcEOM-CC). To quantify spin-phonon couplings of spins on surfaces—the bottleneck to modeling spin relaxation—we will develop a new approach using pbcEOM
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and processing data streams, with theories and methods for planning and
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for the position. Preferred selection criteria Solid understanding of control theory, including classical and modern control design methods Experience with modelling and simulation of dynamic systems Programming