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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Evolutionary Intelligence research group for an enthusiastic talented Postdoc (m/f/x) Symbolic explainable AI and user interface design for
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carries out technology research and development on flight vehicles, flight physics, aerodynamics, thermodynamics and fluidic engineering. The Section is also the focal point for the architecture design
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Postdoc in Machine Learning for Oligopeptide Design (1.0 FTE) (V24.0584) « Back to the overview Job description The advent of modern machine learning (ML) methodology is accelerating scientific
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the modeling of complex structure-function relationships with unprecedented accuracy. Additionally, deep generative models allow for the generation of structures with desired function, thus enabling the design
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, spacecraft system and mission design, and analysis, as well as a valuable data source for studies and other research domains. This research aims to develop a lightweight software system, written in Python and
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, you will play a central role in developing and validating a novel control strategy for bionic limbs based on real-time ultrasound imaging. Your key responsibilities will include: Designing and
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/structure (dis)similarity, using OK Ready! in a new context within both the Technical Medicine curriculum at the University of Twente and the UMC Utrecht curriculum. You will be responsible for designing and
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. You’ll be part of a dynamic, collaborative environment that values innovation, rigor, and translational impact. Information and application Apply by 23:59 on August the 24th, 2025. Interviews will
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design principles and solutions from the immersive workbench to enhance web-based annotation platforms, offering scalable solutions. You will work with Dr. Nandika Tsendbazar and Dr. Jiayan Zhao
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) Assessing the performance and fault tolerance of neuromorphic hardware; (b) Designing and developing one or more machine learning (ML) and artificial intelligence (AI) algorithms to support and enhance