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and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either
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-invasive installation, traditional single-element designs suffer from limitations in accuracy, stability, and flexibility. As we have demonstrated in prior research, matrix ultrasonic transducers in
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science research, including familiarity with methods and tools (e.g., statistical software such as R and Python) common in social science; A strong track record in collaborative research, including
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building robust optical circuits incorporating new types of elements. These include gain media, active positioning elements such as piezos and stepper motors, cavities, spectroscopy cells, photonic
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organizations in the hydrogen sector. Analyse design principles and interventions that foster collaboration, co-creation, and innovation in dynamic learning communities. Develop and test tools and methods
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experimental methods involving behavioural and cognitive measures; collecting and analysing salivary oxytocin; supporting the analyses of (epi)genetics; conducting advanced statistical and analytic analyses
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to psychiatry, self-damaging behaviors (i.e., non-suicidal self-injury, disordered eating, suicidal behavior), or anxiety and depression? Would you like to deepen your knowledge of advanced quantitative methods
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Technology Studies (STS), public health, or a closely related field. Candidates without an approved manuscript are not eligible for this position. Demonstrated experience with empirical research methods
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and transnationalism. We examine these questions in the general population but also in specific settings, such as in schools, neighbourhoods and organisations, drawing mostly on quantitative methods
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frameworks and methods such as 1D-CNNs, transformers, or chemometrics for spectral analysis is highly valued, though applicants with strong backgrounds in physics, physical chemistry, or analytical chemistry