19 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral positions at University of Amsterdam (UvA)
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them at (inter)national conferences. What do you have to offer You are: Curious, creative, and interested in learning from different disciplines Familiar with quantitative data analysis in social
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(for details: national knowledge security guidelines ). Only complete applications received within the response period via the link below will be considered. Where to apply Website https
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qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented by publications at first-tier conferences and journals (e.g., NeurIPS
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with colleagues from Dutch Criminal Law, Military Law and Public International Law. In addition to the project’s embeddedness at the ACCJ, the project’s research intersects with the Amsterdam Center
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Sciences at the University of Amsterdam (UvA). BDA works on the development of methodology for data mining, machine learning/deep learning, data fusion, and modelling and application of these methods
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of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow based generative
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expertise in deep learning including experience with libraries such as Pytorch Have strong communication, presentation and writing skills; Enjoy working in a multidisciplinary research environment; Are highly
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) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd behaviour analysis), as well as researching existing sources of knowledge in the literature and
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link below will be considered. Where to apply Website https://www.academictransfer.com/en/jobs/356970/post-doc-position-in-theoretica… Requirements Additional Information Website for additional job
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natural selection acting on genes, developmental experiences, and learning in context. To illustrate, animals might exhibit anxiety in the absence of immediate threat when encounters with those threats (e.g