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the use of programming languages such as R and python; Experience in analysing large and complicated datasets, preferably including geospatial data; Experience in, or strong affinity with, mechanistic and
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they link to C cycling process; Excellent computational, analytical and statistical skills, including proficiency in the use of programming languages such as R and python; Experience in analysing large and
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(quantity is less important); Experience in mathematical modeling of cognition or behavior (e.g. optimality, drift-diffusion); Advanced computational and/or programming skills (Matlab, Python, C++, R
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Moderate to advanced programming skills, ideally in Python Mastery of the English language, both spoken and written TU Delft (Delft University of Technology) Delft University of Technology is built on strong
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, while also developing custom Python-based simulation scripts. TU Delft will support your research with access to the DelftBlue supercomputer for large-scale and intensive modelling. In the second phase
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closely related field. Work experience with atmospheric satellite data (e.g. NO�, HCHO, aerosols, ozone) and/or chemistry transport models. Strong quantitative and programming skills (e.g. Python, Fortran