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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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. 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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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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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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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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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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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
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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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proficiency in English. Experience in data processing, statistical analysis, and scripting (ideally) in R. Ability to work independently while knowing when to ask for help. Ability to work in an extremely