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Field
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understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will
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research, administration and technology and is led by Professor Anna Falk. Linked to the group is the preGMP facility, an infrastructure for process and assay development and clinical translation of cell 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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in the acquired autoimmune disorder immune thrombocytopenia as well as in inborn errors of immunity. You will conduct research using human blood samples, processing them for imaging flow cytometry
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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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illuminate and understand various aspects of human development over the past 10,000 years, thereby creating a comprehensive picture of human prehistory regarding language, culture, and genetic evolution in
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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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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability
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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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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