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total. In your project, you will do research on and apply machine learning techniques to make a real-world impact in academia and at financial institutions. A potential research topic is the design of
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/en/339893/phd-position-in-machine-learning-for… Contact City Enschede Website http://www.universiteittwente.nl/ Street Drienerlolaan 5 Postal Code 7522 NB STATUS: EXPIRED
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for explainability, regulatory compliance, model abstractions, and human judgment. We will also examine technological challenges like digital twin environments, machine learning pipelines, and digital finance
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participants engage in transformative learning activities to shape their new work practices. This interdisciplinary PhD project revolves around close collaboration with practitioners and other researchers
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present research findings in top-tier conferences (e.g., Machine Learning, JMLR) and journals (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD). Collaborate with a international team of researchers and
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for explainability, regulatory compliance, model abstractions, and human judgment. We will also examine technological challenges like digital twin environments, machine learning pipelines, and digital finance
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methods to scale up deep learning. Publish and present research findings in top-tier conferences (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD) and journals (e.g., Machine Learning, JMLR). Collaborate
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to the communities themselves, empowering them to reflect on and enhance their innovation and learning practices. The PhD position is part of the NWO-funded project LIAT; Learning and Innovating Ahead of the Threat
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to staff position within a Research Infrastructure? No Offer Description The vacancy is focused on calibration in deep learning. Deep Neural Networks (DNNs) have demonstrated significant predictive
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control systems. You have skills in data analytics/machine learning: proficiency in data processing, analysis, and interpretation to develop predictive models and optimize manufacturing processes. You have