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Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent years, practitioners and researchers have realized that predictions made by machine learning models should be
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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science,is looking for a: PhD Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent
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on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will answer is: “What do successful organisations do differently on the individual, team
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their ways of working based on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will answer is: “What do successful organisations do differently
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solutions that organisations can implement in their ways of working based on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will answer is
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cybersecurity solutions that organisations can implement in their ways of working based on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will
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passionate atmosphere. The themes of Health and Well-being, Social-Cognitive-Affective Decision Making, Development and Learning, and Advanced Behavioral Research Methods guide research and education. The
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Shape Optimisation This project focuses on embedding state-of-the-art LLMs into the set-up stage of generative shape-optimisation algorithms. The aim is to learn more expressive design-variable encodings
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Shape Optimisation This project focuses on embedding state-of-the-art LLMs into the set-up stage of generative shape-optimisation algorithms. The aim is to learn more expressive design-variable encodings
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itself for its attention to professional development in coordination with the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate