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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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will be combined with theoretical modelling, statistical data analysis, and numerical simulations to identify the governing mechanisms and to determine whether and how proximity to a phase transition
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: Collection, analysis and interpretation of experimental data, using statistical software and other methods to guarantee the accuracy of the results. Dissemination and publication: Assistance to congresses
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logistics Analyse and interpret large-scale molecular data (approximately 11,000 proteins per project) in collaboration with our bioinformatics and statistics collaborators Publish results in international
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portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality
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statistical reporting. Find attached the following documents: xxx (Place and date) (Signature) Where to apply E-mail [email protected] Requirements Research FieldEngineering » Systems
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audiences and collaborate across disciplines; proficiency in spoken and written English. Experience with plant pathogens, microbiome sequencing, image-based phenotyping, R/Python, statistics or machine
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such as Remark). o Work with other lead researchers to produce clean survey datasets across all modes, conduct statistical analysis, and produce data summary files and reports and other deliverable
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of the Division of Agricultural, Food and Resource Economics. You have experience with or are eager to work with large databases and database management software. You have starter skills in statistical, econometric
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qualifications: Knowledge of polymer processing and statistical experimental design (DoE) Collaborative mindset and enthusiasm for working in interdisciplinary teams Strong organizational skills and a structured