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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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resource-constrained environments, and it is important to investigate whether features derived from different network layers can be effectively combined. Machine Learning Model Development & Optimization
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nonlinear effects. These nonlinear effects will be generalised via correction terms discovered by machine learning from a large numerical simulated dataset. This dataset also allows for extending the theory
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use of HPC for numerical computations Good background in Wave physics Good oral and written presentation skills in Norwegian/Scandinavian Personal characteristics To complete a doctoral degree (PhD), it
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Evolution and Palaeoenvironmant (SHEP) is located in a lively university town with historical flair and numerous local recreational opportunities. The Senckenberg Centre for Human Evolution and
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and Topology; Analysis; Geometry; Numerical Analysis and Optimization; Probability and Statistics). (c) Production and edition of scientific papers and progress reports on his/her research work. (d
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structured PhD curriculum. These meetings will include presentations by faculty members on various research topics and methods, offering students valuable insights into different approaches and techniques
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efforts to contribute to safer marine operations, we actively explore possibilities to utilize both numerical and machine learning methods to enhance the accuracy and resolution of metocean forecasts. About
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numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity