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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and applications of AI. Proficiency in Python, leading ML frameworks
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applications of AI. Proficiency in Python, leading ML frameworks (e.g., PyTorch, TensorFlow, JAX), and scientific libraries (e.g., NumPy, SciPy, scikit-learn) Familiarity with medical images such as x-ray, CT
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(e.g. CityGML) and, secondarily, in BIM (e.g. IFC). Have good programming skills, especially in Java, Python, and SQL. Have a good command of English (oral and written). Have an affinity with working in
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Python, C# (preferably across design-related APIs), and using Git. Experience developing plugins or toolsets within parametric modeling platforms like Rhino/Grasshopper, or similar. Knowledge of digital
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, machine learning, and optimization. Experienced with models of hearing and perception. Experienced with C/C++ and/or Matlab/Python. Good communication skills for interaction with the other members
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computer graphics/animation. Strong programming skills, especially in Python. Ideally, you have experience with PyTorch. Track record of publishing in top Vision/Graphics/Animation and Human-Computer
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/transformers), multimodal representation learning, and experience in computer graphics/animation. Strong programming skills, especially in Python. Ideally, you have experience with PyTorch. Track record
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Python and be willing to develop skills in automated text analysis. You have an affinity for working in an interdisciplinary setting and are passionate about applied psychological research in workplace
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conducting experiments, analyzing and reporting data. experience with, or a willingness to learn packages such as R, Python and Unity written and spoken command of Dutch and English. In order to connect
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(hybrid) quantum computing, reflected in demonstrable outputs, for instance, by a relevant PhD thesis and/or publications. Proficiency in Python and quantum software development kits (e.g., Qiskit