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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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, Introduction to Python, making figures using GGplot2 and basic machine learning. These courses are offered to PhD candidates through the PhD Course Centre of the Graduate School of Life Sciences . In
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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
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, provided they have advanced training in 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
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and written. Further expertise that would be valuable: Python software development; Natural Language Processing. Above all, you are a quick learner, proactive and eager to make things work. Our offer
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in Python and affinity with large geospatial datasets. Interest in interdisciplinary research at the interface of geoscience, engineering, and societal impact. Good communication skills and willingness