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Field
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programming skills (Python; familiarity with deep learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical
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environment. The project will also include a postdoctoral researcher. As part of this team, you will collaborate with national and international partners, including the Integrated Carbon Observation System
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programming (Matlab and/or Python); Hands on with laboratory work, skilled in experimental design; Creativity, assertive attitude, and perseverance The selection process will start immediately; the intended
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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 that the candidate is able to communicate and
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asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed Strong verbal and written communication skills in English are required Work
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About us You will become part of a collaborative project team, consisting of a PhD researcher (you), a postdoctoral researcher, a junior researcher/research assistant, and three senior researchers
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preferably in Rust or Python; practical experience with Python-based machine learning frameworks (e.g. PyTorch) is preferred. A motivated, creative, and self-driven working style with the ability
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competence in quantitative and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior
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international conferences, and publish your findings in scientific journals. You will actively collaborate with other PhD candidates, postdoctoral researchers, and scientific and technical staff at HFML-FELIX
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and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior exposure to firm-level