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Field
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Experience in statistical analyses of ecological data Experience with programming in R or Python is an advantage Dependable, pro-active and self-motivated Flexible, adaptive and innovative We offer you
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to learn) as you will interact with patients. You have experience with programming and data analysis (e.g., Matlab, Python, R) is a plus. Previous experience with EEG and fMRI data analysis is an advantage
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degree. Required qualifications (documentation required) Academic background as listed above Training in machine learning Very good English skills (written and oral) Very good computer programming skills
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exploring both theoretical and practical aspects of differentially private computations. Advanced programming skills, preferably experience with programming in Python. Ability to perform research in a cross
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to learn A background in renewable energy, e-mobility, or engineering Good programming skills (e.g., Python, MATLAB or R) Familiarity with control concepts Ability to work effectively with data and applied
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programming skills (Python/C++); Proven interest in generative models and Explainable AI is a plus; Analytical and creative mindset, with the ability to work independently and in teams; Excellent command
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NLP, machine learning, and deep learning. Excellent programming skills (preferably in Python), with experience in fine-tuning language models and working with deep learning frameworks (e.g., PyTorch
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in the field of hybrid dynamical systems, observer design, learning techniques, and optimization. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a
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Language Processing, Artificial Intelligence, Computational Linguistics or a related field; Strong background in NLP, machine learning, and deep learning. Excellent programming skills (preferably in Python), with
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programming skills (preferably in Python), with experience in fine-tuning language models and working with deep learning frameworks (e.g., PyTorch); Interest in interdisciplinary research (e.g., HCI