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, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently operating additive manufacturing systems (DED and LPBF), including
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validate predictive algorithms for biomarker discovery Optimize data integration techniques for multi-omics and clinical datasets Perform trend analysis of bacteria-containing samples over time to observe
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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on developing systems that integrate technological innovations, scientific principles, advanced mathematics, algorithms, and design in groundbreaking ways, particularly on advanced motion control. Key testbeds
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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making new insights into landslide processes. You will develop advanced algorithms to process this data, with a focus on optical flow and object detection. You will interpret the results to better
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/ reference gas analysis and a software algorithm for data treatment. Collaborate with leading AMS laboratories to ensure comparability of on-line measurements with established low-frequency monitoring
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to cutting-edge tools, algorithms, and large, high-quality seismic datasets. Occasional fieldwork to acquire data from temporary networks, providing you with hands-on experience in the field. A competitive
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beam-material interactions Good programming skills (e.g. Python, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently
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models and novel analytical tools. Job description Key Responsibilities: Design, develop, and implement machine learning and deep learning algorithms to analyze large-scale clinical and biological datasets