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- Delft University of Technology (TU Delft); Delft
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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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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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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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(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
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sensors in composites. Strong mathematical background and experience with numerical methods for structural analysis. Proficiency in programming (e.g., MATLAB, Python). You have obtained your PhD degree in
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avenues, with natural curiosity and a passion for new subjects and research areas; Experience with one or more general purpose programming languages, for example Python, and general purpose deep learning
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and conducting experiments. You preferably have experience in project management. You have experience with Praat (or Matlab/Python), and with using advanced statistical methods and writing code. You
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languages, for example Python, and general purpose deep learning frameworks, such as Tensorflow or PyTorch; The interest and ability to share knowledge with other ESA organisational units. You should also
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) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
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, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R. Teamwork and Responsibility: Ability to work effectively within a project team