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multimodal data integration across organismal domains and data modalities, making use of state-of-the-art methodologies such as systems/network analysis, artificial intelligence and machine learning and/or
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cases. We are particularly interested in how AI, Data Science, or Machine Learning techniques can be used to quantify and assess software and system security from open source software to cloud services
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and behavioural speech features. Integrate neuroimaging, speech and clinical data using multivariate and machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation
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Vacancies PhD position Social dynamics of energy communities in the Dutch energy transition Key takeaways Social dynamics shape behaviours that can accelerate or hinder the Dutch energy transition
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online learning platform Canvas, preparation of each programme (ordering catering/books, booking hotels for faculty, preparation of lecturer contracts and preparation of class materials), instructor
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or continual learning paradigms Research Statement. Two reference letters (one from your PhD supervisor). Please contact Dr. Özlem Durmaz Incel if you have any additional questions via the following
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machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation on speech production in relation to individual connectivity profiles. Coordinate closely with clinical
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and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either
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a national and international scale, yet small enough to offer a personal and engaging learning experience. In this way, we contribute every day to a safer and more sustainable world. Impact with law
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transport proteins in lipid membranes. Furthermore, the ultimate long-term goal is to integrate these cells in a dialysis machines. The objectives for this position are to: Formulate synthetic cells with