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, and scenario analysis; Experience with programming and/or data analysis (e.g. Python, R, MATLAB, GIS); Excellent written and spoken English skills; Ability to work both independently and collaboratively
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, or a closely related field; A strong publication record in leading machine learning and/or computer vision venues; Excellent programming skills, particularly in Python and PyTorch; Excellent written
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modelling is an advantage. Strong quantitative skills and interest in statistical modelling, or simulation approaches. Experience with R, STATA, Python or similar software. Ability to work independently and
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. Experience with big 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
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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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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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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