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researcher will be working in a team with other researchers, including PhD students, it is essential that applicants demonstrate good communication skills. What we offer The successful candidate will become
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, clustering, neural networks) for spectral interpretation, segmentation, and material identification. • Create and curate a dedicated HSI spectral library for cultural heritage materials, linking reference
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between biodiversity and climate change. The postdoctoral position is embedded in the the collaborative project Past to Future: towards fully paleo-informed future climate projections (P2F; https
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reports Develop and apply software tools Document software and data according to the FAIR data principles Contribute to workshops and training activities Your Profile: Master with subsequent PhD degree in
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Active contribution to the operations of the stable isotope laboratory Your profile Academic qualification (PhD) in Earth Sciences or related field Experience and training in sedimentology or tectonics
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activities. Your Profile: Master and PhD degree in astronomy, physics, computer science or equivalent fields of study. Proven experience in N-body simulations and the comparison of simulation and observation
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for sustainability, new concepts for security and solutions for current latencies in communication networks. Find out more about the project under https://6g-life.de/ About us: At the Chair of Information-Oriented
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10.08.2021, Academic staff Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification - PhD student in
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peer-reviewed scientific journals Contribute to the acquisition of third-party funding Prepare smaller grant applications, for example for travel support Your profile PhD degree in Biology, Genetics
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06.12.2021, Academic staff The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation (ML4Earth