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– including the health, safety and wellbeing of workers. The aim of the research programme ALGOSH: Algorithmic management at work - challenges, opportunities and strategies for occupational safety and health
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Join us in developing innovative flow control systems to enhance wind-assisted ship propulsion and support sustainable maritime technology! About us The Department of Mechanics and Maritime Sciences
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intended support design decisions related to manufacturing and process parameter selections; known to influence the material microstructure. Duties: The post doc will develop and apply computational methods
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driving range. The project aims to analyze algorithms for predicting the remaining driving range of EVs and suggest ways to improve the current state of the art. The idea is to develop a model-based
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these questions, we will determine RNA structures in vivo using cutting-edge transcriptome-wide RNA structure probing techniques that together with computational models and machine learning algorithms will generate
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synchrotron radiation methods. Experience in programming, data analysis, and algorithm development. (MATLAB, Python, C++, etc.) Experience in developing simulations related to X-ray characterization Track
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Scientific Computing the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms
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depend on data-driven engineering processes for the development and assessment of advanced driver assistance systems (ADAS) or components of automated driving systems (ADS). However, efficiently
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the opportunity to develop your own research ideas within the lab’s focus areas Build and refine computational models of human innovation and learning processes Design and test AI algorithms
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. The successful candidate will work on cutting-edge projects involving artificial intelligence (AI) and computational pathology, with a particular focus on developing and applying machine learning algorithms