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Field
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Economics, Statistics, Maths, etc. Additionally, they must possess a Master’s-level qualification, or equivalent, with merit or above in a relevant subject area. For applicants currently studying a Master’s
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MS/MS and annotation (e.g. SIRIUS, HMDB, authentic libraries etc.), statistical uni- and multivariate analysis, data visualization (PCA score, volcano, heatmap, and correlation plots, either software
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and/or bioinformatics. Keen interest in antibody biology and human immune responses. Previous experience and keen interest in developing skills in data analysis, statistics, and/or visualization is an
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accessible, transparent, and reusable. Key tasks include: - Developing, applying, and validating methods for statistical disclosure control and synthetic data generation, ensuring compliance with formal
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independent research; description of familiarity with statistical and computer packages; names of two references and their contact information (one must be someone you have worked for as an RA); current CV
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. Fluent communication and writing in English. Knowledge of biochemical and molecular methods; ability to perform statistical analyses. Motivation for scientific work, independence, good organizational
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and the ability to develop and conduct high-quality research relevant to the position. The applicant must demonstrate knowledge of statistical methods, documented experience of ethnographic fieldwork
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, Environmental Studies, or Engineering & Policy Analysis; Knowledge of a programming language (Python, Julia, etc) and training in any of the simulation methods; Experience with (statistical) data analysis
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supervision of coders) Collaboration in an international team Carrying out statistical data analyses Preparation of scientific publications and conference papers Contribution to and support of (on-going and
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track record of publications, (iii) experience in statistical data analysis using R, STATA, SAS or other statistical packages; (iv) excellent written and oral communication skills in both English and