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preparation for proteomic analysis, preferably at single cell level. Experience in performance, evaluation and maintenance of nLC-MS/MS systems. In-depth knowledge and experience in statistical and
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assets. Data processing skills using statistical computing and graphics, e.g. R, MATLAB, are of high merit too. Cross-disciplinary experience in presenting and communicating scientific results, especially
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at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/ida . The postdoc will join Linköping University’s Cognition
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experience of quantitative environmental data analysis, including climate data, ecological or forest inventory data, and/or spatial data sets, and skills in statistical analysis and data processing using tools
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mathematics with Specialization in Random Matrices and High-Dimensional Statistics Appl Deadline: 2026/01/26 11:59PM (posted 2025/12/17, listed until 2026/01/26) Position Description: Apply Position
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, and demonstrated ability to develop computational pipelines for biological datasets. Experience in statistical modeling and/or machine learning applied to biological systems, with the ability to link
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also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive
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» Applied mathematics Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Application Deadline 9 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the
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statistical skills (R preferred). Practical experience working with farm animals, ideally pigs. Ability to independently plan and conduct research, manage fieldwork, and collaborate within multidisciplinary
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and has training in statistics, data processing, bioinformatics, or a related discipline, to contribute to research on disorders of the brain. You will work with some degree of independence as a