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parallel and distributed systems, including performance tuning Programming and tooling such as C/C++, Python, CUDA, OpenMP, and Spack Linux-based systems, scripting, Slurm, and general systems engineering
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working with multimodal data fusion and high-resolution remotely sensed data is required. Proficiency in programming, particularly in Python, is essential. Knowledge of deep learning approaches and
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) Familiarity with automation software (e. g. Hamilton Venus), scripting, or workflow scheduling (e.g. HighRes Cellario) and experience with standard programming languages such as Python, C++, Matlab or R
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, Python, RStudio IDE, VS Code) You know your way around the collection of R Tidyverse packages, and you are a competent practitioner in solving problems as outlined in the book R for Data Science You stay
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project administration Profile You hold an architectural or advanced technical degree corresponding to FHEQ Level 7 You have a strong interest in programming and, ideally, experience with Python and C
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, bash/python Experience with molecular biology experiments Good organisational skills Workplace Workplace We offer The technical skills that the student will develop for the PhD project include: Field