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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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experience of application of artificial intelligence including machine learning and deep learning algorithms. Documented programming skills in Python, R, or MATLAB. Very good knowledge of English, spoken and
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infrastructure of unique technologies. You will work in the group “Proteomes of Metabolism ” led by Assist. Prof. Florian Rosenberger. We develop and apply cutting-edge mass spectrometry technologies down
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). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction solvers. Computational aeroacoustics. Swedish is not required
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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applications and applications sent by email will not be considered. Application deadline: Oktober 15, 2025 For questions, please contact: Prof. Tünde Fülöp, Subatomic, High Energy and Plasma Physics Email: tunde
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of the results The position is within the research group of Prof. Ingela Lanekoff that strives to develop and establish new innovative method within the research field of analytical chemistry. The research is
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solving and technique development Scientific collaboration within and outside the group Communication and publication of the results The position is within the research group of Prof. Ingela Lanekoff
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of computational fluid dynamics (CFD). Knowledge of finite element method (FEM). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction
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significant role in learning in AI by enabling cognitive agents to acquire actively knowledge and skills through interaction with their surrounding environment. Embodied AI requires tools, algorithms, and