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: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems. In the context of Prof
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Group in the Social Networks Lab at ETH Zürich is developing network data science methods and applying them in a variety of domains. Our current research focus is on sports analytics and we seek to expand
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analytical and molecular techniques Profile MSc degree in biomedical engineering or related discipline Previous experience in tissue engineering and cell culture is required Previous experience in data
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various markers, and can be obtained under various experimental conditions, these data form a huge analytical challenge. Furthermore, individual predictions of relevant patient outcomes based
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rehabilitation center, and will be embedded in the Vision and Imaging Data Analytics group at the Department of Intelligent Systems and Centre for Cognitive Science and Artificial Intelligence at Tilburg
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Primary Supervisor - Prof Tracey Chapman Strong interdisciplinary training, within the ARIES Ecology and Biodiversity theme, to equip you with high-in-demand analytical skills in phenotypic and
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offers a non-intrusive, low-cost, and privacy-preserving solution. The research will involve designing and testing experimental setups, collecting vibration data from simulated falls and everyday impacts
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10 Oct 2025 Job Information Organisation/Company Empa Research Field Chemistry » Other Environmental science » Water science Physics » Chemical physics Researcher Profile First Stage Researcher (R1
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above-average academic performance. Have experience with data collection and analyzing data using quantitative research methods. Have great analytical skills and are digitally savvy. Feel comfortable
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principled concepts and mechanisms to ensure robust security and privacy for software. The PhD student will be supervised by Prof. Andrei Sabelfeld (Wallenberg Scholar and recipient of awards from ERC, SSF