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-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning, or evaluation Machine learning
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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(not all are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning
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studies. Lifespan developmental perspectives linking psychological factors to health. Cutting-edge quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects
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molecular biology techniques such as DNA extraction, PCR, or qPCR. Experience analyzing biological data using command line tools, R, SAS, or similar analytical software. Familiarity with bioinformatic
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(e.g., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g
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catchment hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
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, or field settings. Experience with molecular biology techniques such as DNA extraction, PCR, or qPCR. Experience analyzing biological data using command line tools, R, SAS, or similar analytical software