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tools within one or more of the following methods; statistical methods, geoinformatics (including spatial econometrics), AI methods (e.g. NLP and Topic Modelling), visualization methods, as
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-mediated image analysis. and imaging Experience of working in Qupath Experience in data analysis of patient material and related statistical assessments Knowledge in cell biology and/or immunology Personal
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or related subjects such as: Time-series analysis, Spectral analysis, Statistical learning. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through
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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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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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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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, 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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ability in a scripting language such as R or Python, as well as working effectively in a Linux command line environment good knowledge in statistics very good ability to communicate in English, both orally
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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