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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 12 days ago
candidate has excellent quantitative and data analysis skills, a proven ability to work independently, and a collaborative mindset. They will be expected to lead their own research projects, contribute
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environment. For more information about the Program for Collaborative Doctoral Projects, please visit: https://go.fzj.de/Collaborative-Doctoral-Projects . We are offering an interesting Collaborative Doctoral
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or transnationalization research. Job description: - carry out extensive online literature searches & summarize findings in English - quantitative analyses of data sets with STATA or R - provide general project assistance
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a vibrant scientific community. Join us in developing solutions for a rapidly changing world and help shape the future by working in an international environment. For more information about the
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Your Job: This project involves laboratory experiments with three different crowd settings: a) a large group waiting in close proximity, b) a queue, and c) a crowd moving through a bottleneck. Using
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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 30 days ago
research on the large-scale experiment ASDEX Upgrade. This is a fusion plant of the world-famous tokamak type. The Max Planck Institute for Plasma Physics in Garching offers an opportunity to participate in
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scale and the coastal areas, up to, and including, development and demonstration of climate services. RIVIERADE will target three European Seas (Baltic, Black, Mediterranean), to produce data and
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural
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aerosol inlet and a FUSION CIMS to analyze the particle-phase organic composition onboard the Zeppelin from 2027 onward Analyze large multi-dimensional datasets using statistical tools such as positive
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track-record in first-author scientific publications for Postdoc applications Experience with data-driven machine learning methods for modelling (PINN, Sparse Symbolic Regression methods) High willingness