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knowledge in plant species identification. The successful candidate should be able to independently conduct statistical analyses in R and hold a valid driver's license. Experience in GIS and handling large
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Desirable: Experience with NMR spectroscopy and/or single-molecule fluorescence techniques Programming/data analysis skills (e.g., Python, MATLAB) Previous research experience in structural biology or protein
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, or similar Proficient knowledge of and previous experience with R and Python, survey design, experimental design, field experiments and quasi - experiments are an added value Strong interest to work in
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analytical and quantitative skills, including proficiency in statistical software (e.g., Python, R). Demonstrated interest in climate change, sustainable finance, and corporate sustainability. Strong written
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. Your profile Master’s degree in analytical chemistry, environmental science or related fields Hands-on experience with mass spectrometry (LC-MS or GC-MS) Experience with programming (Python or R) is a
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language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results
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/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results at conferences, project meetings and
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data analysis (e.g., in Python, MATLAB, or similar) or in analyzing scattering data is desirable. Proficiency in English (German is a plus). Enthusiasm to engage in multidisciplinary and international
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bring strong programming skills with languages like Fortran, C, R or Python. Prior experience in the field of process-based modeling, e.g., climate modeling, is an asset. For both projects, fluent