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Description of the workplace The workplace is the division of Mathematical Statistics with approximately 25 teachers, researchers and doctoral students. Research areas within mathematical statistics
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, electronics, instrumentation, mechatronics. Experience photonic measurements and/or optical instrumentation. Experience with dynamic signals, advanced statistics and clustering methods. Excellent skills in
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experiments in language and cognition. coordinate data collection in a timely manner. process, prepare, and statistically analyse data. draft reports on results. conduct literature surveys as required
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/statistics. The candidate will work jointly with Dr. Eran Elhaik and experts to develop forensic tools. This is a multi-disciplinary project involving programming, modeling, and field testing. You will develop
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to independently initiate, plan and carry out experiments, coordinate collaborations, supervise students, carry out statistical analyses, interpret data and present the results in publications and at international
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, including gene expression data, epigenetic data, mutation analyses, as well as survival analyses and descriptive statistics. Experience in development of image-based analyses of tumor tissue. Substantial
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field work to collect data, laboratory work, bioinformatics analyses of whole-genome data, and methods and statistics for spatial analyses. Overall, this is a project well suited for students with a
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. Read more on the 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
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studies, e.g. professional experience. Other assessment criteria: Experience in applying statistics and basic machine learning to biological data. Experience communicating with non-academic stakeholders
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knowledge of the software package DUNE is a merit (https://dune-project.org). For Area 2: Knowledge in uncertainty quantification, computational statistics, and/or machine learning is a strong merit. An