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component: - Undertake advanced training in qualitative, quantitative, participatory and geospatial research methods. - Participate in seminars, scientific meetings and training activities organised by
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of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models for latent variables and their connections to modern
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of media governance. We are looking for a curious, creative, and collaborative researcher with strong training in historical research methods to investigate the contestation of the public media model from
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, particularly EEG; • Programming experience, particularly in R and Python; • Proficiency in statistical methods commonly used in psychology and neuroscience (ANOVA, linear models, etc.); • Familiarity with
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biochemistry Knowledge of methods of molecular biology, biochemistry Experience in biophysical and electrochemical methods Language requirements: English, level B2 or higher Employee benefits: 25 days annual
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investigates global and transregional dynamics through the application of social science and historical methods. Research at the BGTS examines the structures, risks, and opportunities of cross-regional
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fabricating porous iron electrodes Performing electrochemical evaluation in relevant cell configurations Applying advanced characterization methods to relate material properties to electrochemical behavior
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needs of HTA bodies to existing and newly developed methods, in a system that is useful in practice. Examining how health technology developers are using GenAI in the preparation of national and EU HTA
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artificial intelligence methods for interview assessment and candidate-organisation compatibility. The studentship is commercially sponsored by IMS Group and will connect doctoral research with a major
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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling