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Researcher in Numerical Modeling of Sea Ice We are seeking a highly motivated Doctoral Researcher to join our ice mechanics research group at Aalto University to work on collaborative project between Aalto
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-driven atomistic modeling and AI-accelerated cheminformatics to join the Otaniemi Center for Atomic-scale Materials Modeling (OCAMM), hosted by the Department of Chemistry and Materials Science (CMAT
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Fabra in Spain, Prof. Gustav Eje Henter at KTH Royal Institute of Technology in Sweden. The collaboration network has a strong background in speech and audio synthesis, deep generative models, and
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Pompeu Fabra in Spain, Prof. Gustav Eje Henter at KTH Royal Institute of Technology in Sweden. The collaboration network has a strong background in speech and audio synthesis, deep generative models, and
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theoretical foundations of distributed quantum computing . Our long-term objective is to understand which distributed tasks admit a quantum advantage, especially in the context of the LOCAL model of distributed
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refine LCA models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
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) and good research data management Your network and team Your supervisor will be Senior Scientist Johanna Lilius and through the ConWa-project, you will collaborate with scholars in planning, geography
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candidate: heterogeneous catalysis in organic synthesis, covalent organic frameworks, and/or mechanochemistry. Your team and network You would work in the Synthesis Technologies research group (led by
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‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability
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will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability, scalability, and resource requirements on representative problem sizes, and