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to identify that set, in co-creation with stakeholders. The second sub-project, a postdoc track, focusses on pedagogies or structures for guiding students in selecting competencies to be achieved as learning
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expert knowledge in a reusable format. Numerical Representation, Develop numerical representations of ship designs that are interpretable by machine learning algorithms and suitable for generative ai model
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. While the chosen design has a significant effect on the most important aspects of users’ experience, the algorithms, and thus the supply decisions, are based on users’ preferences. This PhD position
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expert knowledge in a reusable format. Numerical Representation, Develop numerical representations of ship designs that are interpretable by machine learning algorithms and suitable for generative ai model
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have more realistic simulations. Supply and demand levels are intimately intertwined. While the chosen design has a significant effect on the most important aspects of users’ experience, the algorithms
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do we offer? NIDI is a scientific research institute that employs PhD students, postdocs, and professors at all levels. NIDI is located in The Hague, a 10' walk from The Hague Central Station, situated
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will take place on 11 and 13 November. The selection committee consists of: Dr. Koen Haak, Associate Professor (Tilburg University) Dr. Hinke Halbertsma, Postdoc (Tilburg University / UMCG) Prof. Dr
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, and Máxima Medisch Centrum focused on the development and implementation of analytical assays and decision support algorithms in clinical practice. Additionally, the project involves collaborations with
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will join an interdisciplinary team of several PhD students and postdocs in ARCNL’s highly cohesive Source Department and have as an objective to design & execute experiments, and work with advanced
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decision support algorithms in clinical practice. Additionally, the project involves collaborations with large industrial partners such as Roche Diagnostics and SISCAPA. Through this collaboration, you will