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) programme. Further, the candidate is expected to seek funding to further develop the GLA:D® courses for clinicians, the GLA:D® treatment programmes for patients and to enable data sharing and
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academic and industrial partners. In particular, you will: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow
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Full Professor, Associate Professor, or Assistant Professor in Defense-related Technologies for U...
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, including AI-driven data analysis, process-based modelling, and ecological forecasting Your profile We are looking for a scientist with a strong research track record and documented experience with science
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Professor / Associate Professor / Senior Researcher taking lead in Arctic environment and ecosyst...
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data analysis and statistical tools Preferable experience with advisory work Preferable experience with seeking funding Who we are The Department of Ecoscience is engaged in research programs and
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
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, developing causal identification strategies in observational data, and conducting human experiments with AI chatbots as adaptive dialogue interventions. The postdoc will lead the empirical work on work
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-generation proteomics technologies, including quantitative PTM analysis, mass spectrometry method development, data-independent acquisition (DIA) strategies, laboratory automation, and scalable proteomics