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experience working with deep learning methods for biomedical applications. Academic and Project Excellence: Evidence of high-quality research work, as demonstrated by academic grades, the merit of prior degree
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. The department is located at the Biomedical Centre in Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives access to advanced
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studies or equivalent subjects Consideration will also be given to strong collaborative skills, drive and independence, as well as to how the applicant’s experience and competence indicate the ability
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persons, including five professors and two postdoctoral researchers. The subject focuses on the development of sustainable materials and production technologies for the construction industry as
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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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the WASP NEST SOURCE (Secure Operation of Uncontrolled and Reliable Computing on the Edges) coordinated by Lund University. You will be a WASP PhD student and be part of the WASP Graduate School including
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of Informatics (Faculty of Social Sciences), which contributes perspectives on human-computer interaction, information systems, digital practices, and socio-technical change, with a focus on how digital
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the main supervisor. The research is part of the WASP NEST SOURCE (Secure Operation of Uncontrolled and Reliable Computing on the Edges) coordinated by Lund University. You will be a WASP PhD student and be
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spoken and written English is required. Assessment In the selection process, special emphasis will be placed on: the ability to benefit from doctoral education, documented experience in data analysis
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scientists from traditional disciplines such as ore geology, geophysics, rock mechanics, mining engineering, geotechnics, mineral processing, process metallurgy, and applied geochemistry. To ensure continued