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of family-making. The primary methodology is qualitative and based on in-depth interviews and participant observation, supported by document analysis (e.g. letters, diaries, digital communication). A
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crucial insights into the brain's functioning and has enabled the development of treatments for many medical conditions. Studying animal behaviour is a central component in this research. Recent
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of the following areas: organoids or embryo models, genome-wide approaches (sequencing-based, proteomics), transcriptomics, single-cell analysis and/or computational embryology. You have a strong science-driven
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. Profile You hold a Master's degree in Mathematics completed before the start date. You have a strong interest and background in one or more of the following areas: mathematical analysis, numerical analysis
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to provide proof that your PhD thesis manuscript has been accepted by the manuscript committee. You have strong expertise in quantitative research methods, particularly in the analysis of survey data. You have
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(and struggle). You hold a Master's degree in Mathematics, or are on track to obtain one around the starting date of the project. You took classes in Analysis, Calculus of Variation, Functional Analysis
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in data analysis activities, including eddy covariance carbon balances, nutrient budgets, biodiversity indicators, regional water management analysis, or life cycle assessments. As part of
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expected can be quickly updated for the design of optimal experiments. The student will work in close collaboration with the Englitz lab, so that there is a direct link between modelling, data analysis and
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. Profile You hold a PhD in molecular or systems biology/parasitology/ hepatology, or a related field. You possess strong analytical skills and have experience with generation and bioinformatic analysis
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-cycle assessment to determine climate footprints, accounting for all emissions of the production, transport, and various end-uses. The prospective element allows assessment of technologies that are still