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About the role We are seeking to fill one position to undertake directed research activity as part of an EU project called FRAME (A Model-Based Foundry for Engineering, Adapting, and Assuring
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
management, meta data annotation and validation Design, implementation and evaluation of AI-driven tools and applications to facilitate data dissemination and access Supporting data processing and analysis
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background in at least one of the following areas: renewable energy sources, power systems integration, energy technology management, or smart grids. Experience in development of mathematical meta-models
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Engineering » Biomaterial engineering Biological sciences » Biological engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Nov 2026 - 23:59 (Europe/Berlin
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Computer Graphics Laboratory Regular mentoring and close involvement in shaping the platform’s technical roadmap Dynamic research environment with a hands-on, engineering-driven culture Start date: September
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, including high-throughput bioreactor cultivations, multi-meta-omics (metagenomics and metaproteomics), and mathematical modelling. You will work in a highly interdisciplinary environment at the interface
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Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive
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digital channels by making data-driven decisions related to targeting, bidding strategies, budget allocation, creative performance, and conversion optimization. This position will be remote. This is a 12
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approaches, including high-throughput bioreactor cultivations, multi-meta-omics (metagenomics and metaproteomics), and mathematical modelling. You will work in a highly interdisciplinary environment at