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-tracing methodologies to analyse how business actors attempt to influence policymaking and public opinion. Gather and analyse archival data, media sources, policy documents, and corporate reports
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analytical chemistry and with a preference to a strong background in chemistry. Candidates with practical experience in non-target analysis and data analysis workflows, gas chromatography of very volatile
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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specialization in experimental concert research and/or collection and analysis of continuous audiovisual or physiological data. The successful candidate will play a crucial role in the Collective Applause in
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Draževic, and will jointly develop the heterogeneous
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neuro-adaptability with changes in cortical manifestations during an intervention (e.g., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) will
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for a candidate with a background in public health, medicine or similar, and excellent skills in clinical epidemiology, advanced data analysis, and a special interest in IBD. The ideal candidate has: A
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Dražević, and will jointly develop the heterogeneous
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and training master’s/PhD students or visiting fellows in in-vivo imaging techniques and data analysis. Contributing to grant proposals and project planning. You will report to the Eugenio Gutiérrez
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while