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establishing reliable, multimodal methods that connect interphase chemistry and morphology to electrochemical performance, stability, and degradation mechanisms. Join us in shaping the future of advanced
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resilience and risk assessment The research will heavily involve mathematical model development and the use of specialised software for impacts assessments, system dynamics, simulations etc. The researcher is
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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approaches and optimization System dynamics modelling Energy system resilience and risk assessment The research will heavily involve mathematical model development and the use of specialised software
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contacted. Please note that this session is not part of the formal interview process. We also welcome visiting students and research assistants, or equivalent positions, who are interested in collaborating
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stakeholder engagement and communication. The primary workplace is Aalto University’s Otaniemi Campus, with an in-person presence on the campus, due to the need for specialised software for processing
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Condition Modelling Are you interested in developing data-driven methods that improve how water utilities understand, manage, and prioritise their buried infrastructure? We are now looking for a Doctoral
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Science is looking for: A Doctoral Researcher (PhD student) in solid-state enzymatic conversion of biomass Are you interested in research, particularly in the field of biochemistry and material science, and
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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation
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: PhD degree in physics. Experience in experimental research on superfluids. Mastering of micro and nanofabrication techniques. Knowledge of optomechanical and nuclear magnetic resonance techniques is