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-funded consortia FOODGUARD (www.foodguard-project.eu/ ) and NUTRIMMUNE, the Cluster of Excellence “Balance of the Microverse” (www.microverse-cluster.de ), the CRC/Transregio 124 “Pathogenic Fungi and
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large multi-dimensional datasets using statistical tools such as positive matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
of (a) (young) stellar clusters, (b) molecular gas and dust, or (c) star-forming sites (e.g. HII regions) in gas-rich galaxy centers. The work will encompass all aspects from data reduction to their in
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/ ), the BMBF-funded consortium PerMiCCion (www.permiccion.de ), and is an active participant in the EU-funded consortia FOODGUARD (www.foodguard-project.eu/ ) and NUTRIMMUNE, the Cluster of Excellence “Balance
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
) in Garching, led by Prof. K. Nandra. MPE is a world-leading institute in space- and ground-based experimental astrophysics, with leading roles in a number of large astronomical projects. The high
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of the extracts; LC-MS and bioactivity-guided isolation and structure elucidation of the purified metabolites Supervising and training students Maintain analytical equipment Cooperate with other large collaborative
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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at the Biomedical Center Munich . The professorship of Systems Neuroimmunology is part of the Cluster of Excellence SyNergy . The Institut für Klinische Neuroimmunologie in Martinsried near Munich invites
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, and image analysis tools and working on a computing cluster (HPC). Vivid Interest in interdisciplinary research, leading and working on projects with pathologists, medical experts, computer scientists
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(e.g. Python, R, …). Familiarity to work on a Linux computing cluster (HPC). Preferably experience in working with large medical image data. Vivid interest in the analysis of microscopy images or similar