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data analytics, Python, and an affinity for acquiring new skills in this area. Ability to collaborate with both scientific and industrial partners. TU Delft (Delft University of Technology) Working at TU
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science, hydrology, computer science, environmental science, or equivalent You have solid scientific coding skills in Python. You are strongly motivated to acquire advanced skills in Python and in the use
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systems. Experience working with sensor data, including data collection, processing, or analysis. Programming skills and experience in Python, JavaScript or comparable programming languages. Excellent
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and ambient interfaces, or embodied interactive systems. Experience working with sensor data, including data collection, processing, or analysis. Programming skills and experience in Python, JavaScript
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closely related discipline). You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven
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tracking, pupillometry or related psychophysiological methods, or is eager to acquire these techniques; has strong quantitative and statistical skills (preferably using R and/or Python); demonstrates
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enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your ideas with AND without LLMs. You get excited about implementing your
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interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present
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engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in sustainable urban mobility. Job requirements PhD in OR and other related
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large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python