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Field
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programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will use other programmes, such as Python, Stata, or SAS
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of mathematical modeling and data analysis. Experience of programming languages and tools commonly used in biophysical or agricultural modeling (e.g., Python and R). Familiarity with food system resilience
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Lepidoptera and plant ecology Statistics and programming (e.g. in R) The application should consist of the following (all files in PDF-format): Curriculum vitae including publication list, Master [alternatively
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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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communication and writing skills in English. Other helpful competences include advanced statistical proficiency (ideally in the R software environment) and teamwork ability. Conditions of employment The preferred
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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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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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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