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Description Job description The dot on the horizon is a hybrid intelligent system in which AI tools support and learn from people interacting to make sense of something. What that something is can be anything
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for the efficient training and fine-tuning of machine learning models. The postdoc will closely collaborate with researchers at the Dutch Language Institute (and Radboud University Nijmegen). Selection Criteria PhD
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transition and its relationship with public attitudes toward the transition. What you will do The postdoc will participate in the interdisciplinary research programme GroenvermogenNL, which supports the large
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/or PhD students where relevant and even in other universities part of the Consortium and contribute to the academic life of the GID/GPIO department. We expect and encourage post-docs to teach 0,1 FTE
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team at AMOLF, working on fundamental questions on physical self-learning systems as part of the NWO ENW‑M1 project “How do physical learning systems learn?”. The research position is intended to start
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that can learn to manipulate the physical world — safely, reliably, and from just a handful of demonstrations? The University of Amsterdam’s VISLab is looking for a Postdoctoral Researcher in Robot World
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methods so that design decisions can be understood, validated, and trusted. As a postdoc, you will: Develop generative AI models (e.g., variational autoencoders, diffusion models, or reinforcement learning
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in the trend of genetic variance in populations under intense artificial selection. Provide support for applying the developed method in empirical populations under selection. As a Postdoc on this
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January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for postdocs; multiple courses on topics such as leadership for academic staff; multiple courses
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extensive knowledge on zooplankton imaging techniques ability to program and train machine learning models for automated image classification experience with shipborne campaigns and ready to join multi-week