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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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atomic-resolution TEM. Linking 3D atomic structure, dynamics, and catalytic function of individual nanoparticles. Identifying and stabilizing uniquely active nanoparticles to uncover atomistic mechanisms
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) Molecular thermodynamics for water Obtaining structural information of water and electrolyte solutions from advanced experimental techniques, including infrared and/or Raman spectroscopy with support from
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the assessment process. Further information about the PhD-study can be found at the homepage of the University Applications must be submitted electronically using the link "Apply now". Attached files must be in
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research environment and supervisor team with expertise in pharmacoepidemiology, pediatrics and child and adolescent psychiatry. We combine clinical perspectives and data sources with advanced population
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degree or equivalent within Public Health, Medicine, Data Science or other fields related to Epidemiology or Environmental Medicine. The ideal candidate has prior experience in working with health data, is
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at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will
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. For information about our enrolment requirements and the general planning of the PhD study program, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized
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. Empirical work may be complemented with additional data collection and causal designs (e.g., online experiments), as well as relevant methods (e.g., big data, panel analysis, semantic analysis, simulation
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doctoral candidates with skills in interdisciplinary research, spanning from nanotechnology and materials science to molecular microbiology, biochemistry, and infection medicine to AI-based data analysis