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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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classical antiquity to our contemporary world, and teach in programmes ranging from Classics and Book History to Modern Literature, International Studies and Art History. Strengthened by our diversity, LUCAS
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collaborate. We are also part of the MESA+ NanoLab , and have access to world-class cleanroom facilities. To learn more about the research within the Department of Biomechanical Engineering check our website
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programming, statistics, machine learning and big data approaches in the context of soil-vegetation-atmosphere interactions excellent writing and oral communication skills in English and strong ambition
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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; experience with AI and machine learning methods, especially in the areas of natural language processing or graph neural networks; the ability to work independently and collaboratively in an interdisciplinary
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML (Random Forest, SVM, Fully Connected Neural Networks) will be essential
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or geoinformatics) and the willingness to acquire the others during the first months of the project will suffice to be taken into consideration. Our offer We offer: a position for up to 34 months - the length
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on society. As a Group, we teach a range of courses in the minor Violence Studies and in the Crisis and Security Master Track Governance of Violence. What we offer Our goal is to work together to create a