51 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Lund
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environment. For more information: https://www.nano.lu.se/facilities/lund-nano-lab We offer In this position, you will get the opportunity to work in a world class research environment with highly qualified
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, econometrics, applied microeconomics, and macroeconomics. For more information, please visit: https://www.lusem.lu.se/organisation/department-economics/research Job Assignments The holders of these positions
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projects. More information about the doctoral programme is available on the department’s website: (https://www.iko.lu.se/en/research/doctoral-studies). Eligibility General eligibility for third-cycle
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from the online interview will be invited to a half-day on-site assessment in Week 10. For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university
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take the opportunity to make a real difference! Probationary period may apply. Please note that these dates are preliminary and may be subject to change. For further information, please visit: https
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background and interest in soil microbial ecology, ecosystem ecology and biogeochemistry. You will be part of the Microbial Biogeochemistry in Lund (MBLU) research environment (https://portal.research.lu.se/en
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breast cancer risk prediction models to support individualized screening. Data will be drawn from the Malmö-Breast ImaginG database and linked with additional transcriptomic and clinical datasets. Data
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sequencing, and bioinformatics analysis of data from large-scale sequencing, including single-cell sequencing data. DNA and RNA extraction, PCR, cell culture, and working with experimental animal models
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Description of the workplace The Division of Secure and Networked Systems within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer
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be employed, including e.g. deep phenotyping via flow cytometry, high-plex analysis of soluble factors, spatial characterization of tissue sections using immunofluorescence, and related data analysis