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Field
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summary and responsibilities Define the role of primary cilia in glial cells in development and disease, using both mouse models and human cells. Analyze data from molecular, genetic, imaging, and
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of the research findings. Person Specification Candidates will be expected to have a first degree in Economics or proximate fields; strong analytical skills; experience in quantitative data analysis using large
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for the automatic generation of future energy technology scenarios based on LLMs, patent data, and scientific literature Investigating the system-level conditions under which future technologies like fusion and
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manufacture. The PhD candidate will gain expertise in gene therapy production as well the experimental and computational steps required to capture and analyse transcriptional data at single cell resolution
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems
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and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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can be set up in one day. During the plant growth period the student will be trained in the appropriate analytical skills for analyses after concluding the trial (2 weeks). Scope for initiative
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in the laboratory. Ambition to disseminate the results of your research by participation to conferences and publishing in research journals. Strong analytical and organizational skills. Good
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data analysis, programming, and biology. You will be part of a collaborative research team with deep experimental and analytical expertise, with access to advanced tumor models and state-of-the-art