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Field
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to develop robust experimental designs, to conduct data processing and statistical analysis with relevant programming language(s) (such as Python and R), and to handle high-dimensional research data to a high
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or related disciplines. They should have i) a strong quantitative background; ii) experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; iii) demonstrated expertise in
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data science tools, especially Python or R Proven ability to work collaboratively in interdisciplinary and international research settings Strong skills in scientific project management Excellent written
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. Knowledge of programming languages (e.g., C, C++, Python, R, Matlab) is preferred. Primary Responsibilities: The successful candidate(s) will be expected to carry out research under minimal supervision
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. Lozada-Hildalgo, & P. Unwin. Nature. 2023, 620, 782–786. 2. Thousand-fold increase in O2 electroreduction rates with conductive MOFs. R. Mariano, O. Wahab, J. Rabinowitz, J. Oppenheim, T. Chen, P. R. Unwin
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
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in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
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analysis using data software is required (e.g., SAS, STATA, R, etc.). Qualifications: Doctorate degree in Epidemiology (or related field) from an accredited university by the start date required. Knowledge
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data using MEFISTO. Nature Methods (2022) Kleshchevnikov, Vitalii, et al. Cell2location maps fine-grained cell types in spatial transcriptomics. Nature Biotechnology (2022) Argelaguet, R., et al. Multi