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interoperability across infrastructures (in particular eLTER and ICOS - Integrated Carbon Observation System), and promotes collaborative learning and professional development. STARDAST STARDAST focuses
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. The project develops modular training activities, supports interoperability across infrastructures (in particular eLTER and ICOS - Integrated Carbon Observation System), and promotes collaborative
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excellent infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing
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infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure
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is collaborative and research-oriented. You will be encouraged to develop independent scientific ideas, discuss your work regularly with the team, contribute to joint publications and participate in
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facility users, maintain robust daily operations, and develop methods that can be implemented across the HPC service portfolio. The role is therefore best suited to a collaborative scientist who is
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including collaborative innovating towards sustainability, circular economy, governance and institutions for sustainability, sustainability transitions and business models for sustainability. This
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://immufellow.fi/ (deadline: October 19, 2026). Representative publications from us: Takeda A et al., Immunity 2019; Takeda A et al., Trends Immunol 2023; Eichin D et al., Nat Commun 2025. Learning
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organizing for sustainability including collaborative innovating towards sustainability, circular economy, governance and institutions for sustainability, sustainability transitions and business models for
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quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum