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)biodiversity and conservation genetics applied to wildlife and model organisms. The selected candidate will contribute to this important transition by integrating our vibrant team and by engaging in
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an interdisciplinary project in neurobiology and work together with proteomics experts. You will be working primarily with mice models and primary neuron cultures. You will be involved in the Center for Proteins in
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possible thereafter. The aim of this project is to advance the development of multi-trait Bayesian linear regression models that enable the sharing of genomic information across traits and biological layers
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applicant must have professional proficiency in English (written and spoken). Desirable qualifications: Prior experience in working with economic models of migration, residential choice models, and/or spatial
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information from medical images, improvement of image quality to support dose calculation and adaptive treatment delivery, and statistical modeling of patient data as well as development of efficient methods
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delivering influenza vaccination through intramuscular and intranasal routes, which will be compared to a live influenza human challenge infection model in humans. Methodology will involve implementation
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of the extremely wealthy individual. The postdoc project enquires into these ethical obligations and should aim to sketch a model of the moral requirements of being extremely rich. We expect the postdoc project
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industrial ecology, sustainable resource management, life cycle assessment and green transition strategies Excellent experience in (dynamic) material flow analysis, including modelling development and
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the use of single cell technologies. You have expertise in mouse genetics, including technologies for the generation of advanced mouse models of disease. As a person, you are a team-oriented and
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statistical modelling is an advantage. You will be expected to analyze large time series datasets to identify patterns and provide insights into future climate projections as well as communicate findings with