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platforms. Experience in development of digital twins or physics-informed machine learning models. Experience in programming (e.g., Python or equivalent) and development of control or data acquisition
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complementary energy ranges. Tasks and Responsibilities The successful candidate will: Participate in the commissioning of the array of Large-Sized Telescopes (LSTs) of the CTAO-N observatory (https
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Infrastructure? No Offer Description Experimental postdoc. Develop experimental approaches to studying learning in individual mammalian cells, following two potential paths. First, by following up the studies
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to the ERC-PoC project NOSHAKE (a New paradigm fOr forecaSting injection-induced eartHquAKEs), funded by the European Research Council (ERC, https://erc.europa.eu/ ). The candidate will perform her/his
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of Spanish (not required but valued for teaching and policy dissemination in Spain). Experience with AI-based research workflows, machine learning techniques applied to financial data, or modern
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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, experimental data bases and materials data bases together with novel AI tools. Where to apply Website https://auspire.eu/research-team/icn2-pf1-call-2/ Requirements Research FieldChemistryEducation LevelPhD
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the Bilingual LENS framework. Postdoctoral researchers at the BCBL can acquire mentoring skills by co-supervising Master’s and PhD students. Additionally, there is the opportunity to gain teaching experience