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or willingness to learn metabolomics, statistical data analyses, data processing and R. We offer We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which - after a
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participate in local research and development (R&D) projects. Key research areas include solar neutrinos, solar axions, and light dark matter. In addition, there is an opportunity to contribute to the slow
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programming skills in R and/or Python. You are also eager to learn new research methods. You have initial experience working with and fine-tuning LLMs and wish to further develop these competencies. You have
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. Proficiency in English, both written and spoken, with the ability to communicate complex ideas clearly. Experience with statistical programming (e.g., Stata, R). Ability to work collaboratively in a
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criteria for the position. Preferred selection criteria Familiar with SPSS, STATA, R, or Python for quantitative analysis Knowledge of NVivo or Atlas.ti for qualitative data analysis Personal characteristics
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be considered if combined with advanced coursework in cell and molecular biology and genetics. Experience working in a Unix/Linux environment, as well as documented experience in R or Python, is
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, criminology, statistics, or data science experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software strong quantitative skills excellent communication skills, both
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for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background knowledge in either (computational) Bayesian methods, or statistical learning for molecular data
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analysis techniques (e.g., statistical software proficiency in SPSS, R, or qualitative analysis software) to manage data sets Professional Competencies: Strong written and verbal communication skills
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tools for end-to-end processing of next-generation sequencing data, from raw data to variant discovery (e.g., GATK pipeline). Experience with programming languages (e.g. bash, Python, and R). Experience