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Field
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Metallurgy and Corrosion cluster, working within a multidisciplinary team spanning theory, advanced characterisation, and computational modelling. This environment provides an excellent platform for developing
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novel alloys that achieve superior combinations of strength, ductility, and damage tolerance. Working within the Metallurgy and Corrosion Research Cluster, the candidate will combine experimental studies
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blood to identify circulating factors that are present in Fontan patients with abnormal vascular physiology. The project will involve significant bioinformatics including patient clustering by high
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matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric composition Present your results at international conferences and publish in
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Max Planck Institute for Biology of Ageing, Köln | Koln, Nordrhein Westfalen | Germany | 2 months ago
Job Offer from August 12, 2025 The Cologne Graduate School of Ageing Research (CGA) in Germany is a joint venture of the University of Cologne Excellence Cluster on Stress Responses in Aging
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Brookhaven Lab's Institutional Cluster and DOE leadership computing facilities, ensuring the successful candidate will have the necessary tools to tackle challenging DOE problems. The successful candidate will
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Faculty. The KdV Institute participates in the NWO research clusters GQT, STAR, NDNS+ and DIAMANT and in the Gravity programme NETWORKS. There is formal (and informal) cooperation with the Centrum Wiskunde
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fairness, emotion and affective interaction, or user-centered evaluation will be a strong advantage. The successful PhD candidate will be embedded in the Human AI cluster, at the Leiden Institute
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clustering algorithms. 2) M20 / Duration 3 months/ SCM (Amsterdam (NL) (supervisor at hosting institution: Stan van Gisbergen) Goal: acquire experience on specific features of BAND and new VCD code. Training
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. The successful PhD candidate will be embedded in the Human AI cluster, at the Leiden Institute for Advanced Computer Science (LIACS) at Leiden University, supervised by Dr. Flor Miriam Plaza del Arco