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Field
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HFBK Hamburg. This is reflected not only in the high number of international students — almost 50 % of students have an international background — but also in the numerous exchange programmes
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-trivial software. Solid understanding of algorithms, numerical methods, scientific computing, or machine learning. Ability and motivation to write clean, maintainable and well-tested code. Strong interest
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
production of materials – mainly metallic and ceramic – as well as application aspects. PROJECT DESCRIPTION The PhD student will focus on the synthesis, optimization, and characterization of advanced sorbent
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optimize the detector and its parameters. In this project, you will focus on developing a suitable solution for integrating photo detectors with the analog front-end. You will work on this solution, ensuring
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optimization strategies to maximize yields of desired products. A key aspect of the project is understanding and improving catalyst stability, including identifying deactivation mechanisms and developing
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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT
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-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with leading biomedical research groups in Norway and abroad. This PhD position is also embedded in
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learning, with the aim of controlling the vessel in an optimal and efficient manner. In this context, control is formulated as a trade-off between different objectives, such as minimising energy consumption
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-MID prototyping and performance optimization of structure-embedded sensors and nanogenerators. Depending on applicant’s skillset the research objectives may include implementation of AI-assisted in
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degree in applied numerical mathematics, computational/theoretical physics, theoretical biology, computer science, or a related discipline; Written and oral proficiency in English, strong scientific