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safety, sustainability, health and economic feasibility. Through a combination of case studies, legal analysis and (qualitative) stakeholder research, you will contribute to a deeper understanding of how
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opportunities will be provided based on your skills. Project description: Development of an integrated framework for 1) automated ODE structure identification 2) structural identifiability analysis, 3) global
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University. Driven by the urgently needed shift towards a more sustainable economy, there is a rising interest in mycelium materials, of which vegetative fungal biomass is a main component. Recently, focus is
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mechanisms and data to understand how the brain processes natural auditory scenes. You will design and implement AI models for auditory scene analysis, working with large-scale sound datasets, as well as with
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to perform state-of-the art multi-disciplinary research, including a unique Metabolic Research Unit (MRUM) and Microbiome Sequencing and Data-analysis Facility. All studies will be performed in a team setting
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. Knowledge and experience with microscopy, image processing and analysis. What we offer As PhD position part of ERC CoG project NEPHRONat Faculty of Health, Medicine and Life Sciences, you will be employed by
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analysis of visual materials representing the wellness industry. Writing a doctoral dissertation and (co)authoring 1-2 publications (e.g. journal articles). Participating in group meetings and contributing
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relevant Life Sciences discipline: (medical) biology, microbiology, biomedical sciences; Strong interest in (molecular) microbiology; Experience with data analysis (e.g., using R) is an advantage but not a