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A PhD position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof. Narcis-Adrian
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of the ECHO-EMG research initiative, funded by the Independent Research Fund Denmark (DFF). The project aims to develop a novel system that combines high-density surface electromyography (HD-sEMG) and
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energy to carry out research, development, and testing of novel solutions in the production of large structures, such as buildings, ships and offshore platforms. LSP is closely working together
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candidates who are interested in joining our team as PhD fellow. The position is available from October 1, 2025, or as soon as possible thereafter. The Ravnskjaer lab is headed by Assoc. Prof. Kim Ravnskjaer
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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Job Description A PhD position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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water, etc.) by fusing sensor data (e.g. sonar, INS, USBL). Collaborative control strategies: Developing coordinated control algorithms that allow the USV and UUV to perform joint missions without
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detailed local inspection. Digital twin simulations: Developing simulation environments replicating sensor characteristics and anomaly conditions to test perception algorithms under controlled, repeatable