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the Systems Analysis Unit, looking for talented and motivated candidates to work in life cycle assessment of batteries-based energy systems and other energy systems. The new researcher will join the research
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. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group: Atomistic & Molecular Modelling for Catalysis Group Requirements Specific Requirements PhD in Chemistry
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, computer science, bioengineering, data science, or a closely related discipline. • Demonstrate advanced proficiency in artificial intelligence and machine learning, particularly in applications involving
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of quantitative analysis techniques, specifically in the analysis of political attitudes using survey data. Proficiency in statistical software such as STATA and/or R is required. Languages: Fluent English
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Physics 3- Experimental Nuclear Physics 4- Development of Advanced Particle Detectors 5- Scientific Computing and Data Analysis 6- Societal and Technological Applications Researchers at IFIC benefit from a
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to ERC project ATRAPA – Active Travel Backlash Paradox, in particular within the WP3 dedicated to electoral analysis. The main objective is to investigate the political consequences of urban interventions
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and monitoring tasks for the work package, with project manager-type funcions: • Collection, harmonization and analysis of multimodal accessibility data (walking, cycling, public transport) and
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cell implantation and in utero electroporation), cell migration studies using time-lapse imaging in brain slices and modeling, whole-tissue clearing, and advanced 3D analysis, the following gross salary
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Programme to optimise the potential for mutual learning and exploitation of the Food Sharing Compass well beyond the project. In essence, CULTIVATE will establish the EU as the global frontrunner in
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crops - Establishment and maintenance of crops - Analysis of different physiological parameters - Direct and indirect speciation of Se in different plant parts using various analytical techniques