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). Demonstrated affinity with quantitative genetics concepts and data analysis. Experience with programming in Python, Fortran, Linux or similar software. Good organisational and communication skills in English
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, Quantitative Genetics, Population or Statistical Genetics). Demonstrated experience in analytical and quantitative skills. Proficiency in programming and data analysis tools (e.g. Python, R, Fortran, Linux
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methodological statistics You should have advanced programming skills in R or in other statistical software such as Python, or MATLAB. You should have a solid knowledge of statistical inference, statistical
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science, or a related field; strong experience with GIS and spatial data analysis; experience with Python, or a strong willingness to further develop programming skills; an interest in methodological and
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; experience with statistical programming (e.g. R, Python, or comparable tools for data analysis); experience with, or a clear interest in, environmental and health research, including spatial data analysis and
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-of-the-art techniques. Image/data processing skills in Python or Matlab. Proficiency in written and spoken English. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure
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design and digital signal processing. Hands-on RTL design skills (SystemVerilog / Verilog / VHDL) plus scripting (Python / MATLAB / C/C++). Strong command of English. Strong team player with excellent
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, sediment transport/deposition, landscape change); You enjoy working with large datasets and applying statistical analysis and modelling approaches; You use scripting/programming in your research (e.g. Python
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flows, or reinforcement learning-based design optimization. Strong programming skills in Python with experience in PyTorch, JAX, or equivalent deep learning frameworks. Ability to work independently
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Matlab or Python and a basic experience in the use of optical engineering software (for example Zemax OpticStudio, CodeV, RayJack-1) is required. You should have good interpersonal and communication skills