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digital health. Our research integrates AI, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid
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for several weeks each year. The numerical simulation work will include modeling and optimization of beam optics, radiation transport simulation for predicting dose distributions using Geant4, and plasma
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://www.uib.no/en/sefas About the project/work tasks: The postdoctoral research fellow will perform quantitative data analysis using advanced techniques such as signal processing, modeling, dynamic systems, and/or
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infrastructure, models for interdisciplinary collaboration and training in research, including computational and transferable skills. The DSTrain program also includes a range of cross-sectorial secondments
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or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling, programming, systems thinking, and qualitative
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for your further career. Large language models (LLMs) are today a central research topic within generative Artificial Intelligence. Even though international models from companies like OpenAI, Google, Meta
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to guide ongoing measurement campaigns and targeted, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available
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). Relevant tasks may be a combination of: Investigation of defect formation in AlN by ion implantation and annealing Optical characterization of quantum emitters in AlN Theoretical modeling of defects in AlN
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hydration reaction in the crust. By exploiting recent breakthroughs in machine learning based molecular scale modeling, we will simulate directly–on the atomic scale–what happens during the hydration and the
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Conserved Binding Sites: A Case Study Using N-Myristoyltransferases as a Model System. J Med Chem. 2020). The lessons learned from the validation shall also be used to develop improved methods. About the LEAD