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for yourself and, if applicable, for your family. If you come with a partner, we offer a Dual Career group program organized by our Welcome Center . This program helps your partner to get familiar with the Dutch
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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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infrastructure data, and building visual tools to support the interpretation and communication of results. The work has a strong foundation in systems and network research, with an emphasis on DNS protocol
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative
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Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs
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their learning opportunities, participate in local research networks, and access leading research facilities. Candidate profile: Applications are invited from outstanding graduates who meet the following criteria
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researchers. There are strong connections to national cosmology networks and observational collaborations. Active participation is expected in group meetings, journal clubs, and international research projects
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will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is € 2.901,- per month rising
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motivation to gain experience in) quantitative methods and statistical analysis; excellent analytical proficiency and conceptual understanding; strong communication, presentation, collaboration, networking and
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your professional network. You will also have opportunities to present your work at leading conferences, engage in international collaborations, and develop a strong professional profile in computational