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Description of the offer : In this PhD project, a machine learning algorithm will be developed for magnetic systems. Specifically, the project aims to solve non-linear magnetic equations (e.g
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within a Research Infrastructure? No Offer Description Calculation of magnetic properties using machine learning. Details: https://www.science.hr/jobs/158953/calculation-of-magnetic-properties-u
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of snapshots taken with high-throughput super-resolution microscopy and are looking for a Postdoctoral Researcher with a background in machine learning. About the position/ the research project The overall aim
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project, a machine learning algorithm will be developed for magnetic systems. Specifically, the project aims to solve non-linear magnetic equations (e.g. macroscopic Maxwell equations) using physically
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of teaching Your Qualifications: The successful candidate must hold a Doctorate/PhD degree or equivalent in machine learning or closely related field, such as Computer Science with strong focus on machine
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fields. Proven knowledge in artificial intelligence and machine learning applications (e.g., PyTorch, TensorFlow). Familiarity with design computation tools like Grasshopper for Rhino3D and experience in
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permanent position depending on requirement and performance evaluation Job profile: In this position you will carry out research which requires a doctorate/PhD in the defined field and a high degree of
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for the position of one to two Prae-Docs (3 year appointment, 30 hours) at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The successful candidate will work in the group
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, 40h) at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The successful candidate will work in the group of the START research project "Universal structures in
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Machine Learning. The successful candidate will work in the group of the START research project "Universal structures in Mathematical Finance", led by Prof. Christa Cuchiero. The focus of the project lies