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of the important technologies in the field of LAIs. The common approach to manipulate the performance of LAI suspensions release rate relies on changing particle size distribution of the crystalline API
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Engineering (ESE) is one of the 10 research section of DTU Compute. Our mission encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical
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faculty determines the distribution of the various assignments. The weighting of the different assignments may vary over time. Employment as a postdoc requires scientific qualifications at PhD level at
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experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in
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team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
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of its core areas: research cloud services. We seek an expert in the following areas: Distributed and concurrent systems SQL databases Software development for HPC environments Experience with Slurm
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, the candidate will be leading the building of a database to i) guide neuroethological studies (behaviour and physiology) in honeybees at University of Konstanz, and ii) train algorithms aimed at modelling and
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hardware modification. The AI will learn and adapt the realms of the combustion modes and fine tune the performance for each while the engine is operated. Self-tuning, adaptive, control algorithms will be
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distributions Linguistically motivated methods for analysing and securing LLM behaviour, including, e.g., LLM misbehaviour and memorization in LLMs Analysis of vulnerabilities in low-resource language settings
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. via computational linguistic analysis of output space distributions Linguistically motivated methods for analysing and securing LLM behaviour, including, e.g., LLM misbehaviour and memorization in LLMs