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, measurement equipment, process monitoring, and surface-characterisation tools B.6 Practical knowledge of design of experiments (DoE), statistical analysis and scientific presentation C. Research focus C.1
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-year research project aimed at advancing our understanding of foot growth and deformities in children with cerebral palsy. In this project, you will develop statistical shape models and finite element
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, processing and statistical analysis of experimental data, and publishing and presenting research results in scientific journals and at conferences. The successful candidate will also participate in doctoral
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | about 2 months ago
an internationally competitive research environment with state-of-the-art facilities, using experimental, molecular, genomic, and theoretical approaches. YOUR QUALIFICATION • MSc degree (or equivalent) in
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… Requirements Specific Requirements You should have an MSc degree in ecology, computational ecology, quantitative biology, statistics, or a related discipline. Candidates from other relevant backgrounds with
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
Degree (MSc) in a relevant field, such as Biomedical Sciences, Medicine, Health Sciences, Nutrition or Sensory Sciences; Experience with in vitro research including cell culture and molecular biology
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. The student will use stacking techniques and other statistical methods to quantify the contribution from faint galaxies, develop their own analysis codes, and present the results in scientific publications
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
excellent planning and organizational skills you bring: Master Degree (MSc) in a relevant field, such as Biomedical Sciences, Medicine, Health Sciences, Nutrition or Sensory Sciences; Experience with in vitro
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focuses on four key research themes: Algebra, Geometry, and Number Theory; Analysis and Dynamical Systems; Probability; and Statistics and Data Science. There is extensive collaboration between these themes
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statistical models to understand the ecological and phylogenetic factors playing a role in the evolution of the host-microbiome systems. The project will use the vast number of paired host and microbiome