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. coordinate data collection in a timely manner. process, prepare, and statistically analyse data. draft reports on results. conduct literature surveys as required. contribute to publications both as lead author
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applying statistics and basic machine learning to biological data. Experience communicating with non-academic stakeholders. Experience applying for, and receiving, funding for research or educational
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. Neurodegenerative diseases are complex and multifaceted. The overarching goal of the project is to develop advanced statistical models and deep architectures that can contribute to improved ability to diagnose
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descriptive statistics. Experience in development of image-based analyses of tumor tissue. Substantial experience and excellent proficiency in relevant programming languages, including R and Python. Very good
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and statistics for spatial analyses. Overall, this is a project well suited for students with a background and interest in genomics, evolutionary biology, and conservation biology. Admission
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command line environment good knowledge in statistics very good ability to communicate in English, both orally and in writing ability to be self-motivated, driven and persistent you must be good at working
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university's website about being employed at Lund University, Work with us . Work duties The postdoctoral researcher will conduct statistical analyses of high-dimensional data collected from healthy control
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(https://dune-project.org ). For Area 2: Knowledge in uncertainty quantification, computational statistics, and/or machine learning is a strong merit. An assessment of ability to think independently and to
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statistical skills (e.g. statistical programming in R) Demonstrated skills in scientific publishing Ability to work in groups as well as independently Excellent oral and written proficiency in English. In
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, qPCR to measure telomere length, multiplex PCR to measure malaria infection) and using statistical tools to analyse large long-term data sets. Each year, there will also be several months of intense