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-supervised tasks (i.e. k-nearest neighbours, Decision Trees, Neural Networks, Logistic Regression, Gradient Boosting, Self-Organizing Maps); Advanced knowledge of Python programming, namely numpy, pandas
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electrochemical methods Experience with a variety of printing methods for electronics applications A thorough understanding of machine learning models and experience building and evaluating artificial neural
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Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstrable expert knowledge in one or more or the following areas: deep learning; graph neural
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conducting experiments for training and evaluating deep neural networks Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning Experience in dealing with large medical
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a text corpus, and build classifiers with neural networks. Teach three sections of introductory courses in a studio-style 90-minute combined lecture and lab session twice per week, hold office hours
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the application of machine learning and artificial intelligence. By using neural networks developed in Python, the project aims to generate robust and generalisable models for scaffold design. Industrial
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to the Research Center for Cognitive Science and Artificial Intelligence (CSAI) that consists of five research units: Data Science, Safety and Security: The use of data science and AI methods and techniques within
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regression, decision trees, Random Forests, and neural networks; b) Basic programming experience in Python/R; c) Interest in clinical or biomedical data processing and analysis; d) Motivation to learn and
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), artificial neural network (ANN)) will be applied using the parameters of strongest influence on the target properties. Moreover, the obtained data will be fed into a generative pre-trained transformer model
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of curricular units 3 - Knowledge of algorithms and artificial intelligence models applied to the prediction of student dropout (e.g., GPT, decision trees, k-NN, neural networks) 4 - Knowledge of techniques and