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their structure and electrochemical performance, and using this knowledge to engineer application-relevant devices? We are seeking for a curious, self-driven doctoral researcher to develop active, durable, and cost
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‑driven differential rotation constraints in the global dynamo models (e.g., via relaxation terms in the Navier–Stokes equation), calibrating against solar/stellar observations. Design, run, and analyse
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this knowledge to engineer application-relevant devices? We are seeking for a curious, self-driven doctoral researcher to develop active, durable, and cost-efficient thin film electrocatalysts based on earth
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states are unobserved. Purely data-driven models offer flexibility, but often ignore known biology and provide limited insight into uncertainty and mechanisms. These challenges motivate a broader Biology
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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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Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years and during the first 6 months you must apply and receive a right to study in the doctoral programme
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branches (Soft Materials Modelling, Computational Chemistry, Inorganic Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years and during the first 6
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by the Multi-energy System Planning and Operation Research Group at Aalto University School of Electrical Engineering . The research will focus on the modelling, optimization, and operation of AI
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seeking a doctoral researcher possessing a curious and self-driven mindset to develop and apply new simulation protocols to push towards realistic and dynamic modeling of AS-ALD processes. Recently, we have
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers