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such as multiple fragmentation methods, high-resolution Fourier Transform Ion Cyclotron Resonance mass spectrometry, two-dimensional mass spectrometry, trapped ion mobility spectrometry, and chemical
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alarm signal or take other actions locally. We aim to implement methods for quality control and enhancement of data quality through approaches developed in other PhD projects within SFI Smart Ocean. These
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to describe a condition or make a decision to send an alarm signal or take other actions locally. We aim to implement methods for quality control and enhancement of data quality through approaches developed in
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health behaviors. The position may include some classroom teaching in statistics and/or research methods. The position affords opportunities for professional development and advancement, with guidance
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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of ambulatory assessment and very old age Good interpersonal skills and interest of working with older adults Good knowledge of and interest in longitudinal quantitative methods (e.g., multivariate analyses
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of the Dutch NWA consortium “PRELIFE”, https://www.originscenter.nl/prelife/ The origin of life remains one of science’s most profound and enduring mysteries. Despite numerous theories, no single explanation has
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advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow
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Applications are invited to undertake a 3.5 year PhD programme to explore new laser surface engineering methods for functionalising the electrochemical performance of solid-state batteries. In
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or high 2i in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, or Atmospheric Sciences. Knowledge in fluid mechanics, numerical methods and computational modelling