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development over the past 10,000 years, thereby creating a comprehensive picture of human prehistory regarding language, culture, and genetic evolution in Africa, Oceania, and Eurasia. Read more: http
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, Experience in image processing and image analysis of tomographic or other imaging data, High motivation, ability to quickly learn new techniques, and strong time management skills, Strong collaboration and
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extent to which large-scale, reactivated basement structures focused mineralization. The focus is on regional-scale three-dimensional (3D) anisotropic magnetotelluric (MT) imaging of the deep crust and
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mathematics, data science and machine learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will
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multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both spoken and written English. Merits
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processes to human health and ecosystems. As part of SciLifeLab , a unique nation-wide infrastructure and research community that combines advanced life science technologies with data and AI expertise
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microfluidics, one of the most promising high-throughput methods for effectively processing the MIP-probe-positive individual cells for RNAseq analysis by using our standard pipeline. We will also apply our well
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computer simulations. Being a doctoral student As a doctoral student, you are both admitted as a student and employed at Lund University. As a doctoral student, you will be trained in a scientific approach
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respect to battery performance, and study fundamental chemical processes and properties using both experimental and computational techniques. The research is, as such, both fundamental and applied. This PhD
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contribute by exploring new building design with biomass in the 3D printing process. Your primary tasks include: 3D modelling using Rhinoceros 3D and Grasshopper software 3D printing of prototypes with WASP 3D