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groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will be working in the research group of one of the PIs
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state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier environments. As a Postdoctoral researcher, you will
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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computational design for climate-adaptive urbanism. Your network and team You will work closely with Professor Dr. Pia Fricker (https://research.aalto.fi/en/persons/prof-dr-pia-fricker ), whose professorship in
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theses Create reporting data and provide it for tracking progress Work together with our national and international collaborators Your network and team You will work in the QCD group as a Postdoctoral
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theses Create reporting data and provide it for tracking progress Work together with our national and international collaborators Your network and team You will work in the QCD group as a Postdoctoral
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problems, mistakes, and scientific findings to the rest of the team. We help each other to succeed in making exciting new scientific discoveries. Your network and team As the PI of the group, I (Prof
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for high impact journals. Participate in events, give expert talks, support in teaching and workshops. Network with scientists and industry to support your research as well as the development of new research
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in teaching and workshops. Network with scientists and industry to support your research as well as the development of new research proposals. Grant reporting, managing and monitoring. Work with
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an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process while focusing on interesting computational problems and