10 phd-scholarship-in-computational-material-science Postdoctoral positions at AALTO UNIVERSITY in Finland
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experience and ambitions We are seeking a candidate with: Educational background PhD in Architecture, Landscape Architecture, Computational Design, Computer Science, Urbanism, or a closely related field
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30 Aug 2025 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Finland
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biology, biomolecular, and biohybrid materials. Requirements Recently obtained PhD (within five years) in biotechnology, molecular biology, biochemistry, or a related field. The candidate should have sound
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the length of the postdoc position is negotiable. The positions are in the Department of Computer Science at Aalto University in Finland. You will be joining a larger group of researchers working on similar
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applications that hold great technological potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research
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Deadline 15 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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of the postdoc position is negotiable. The positions are in the Department of Computer Science at Aalto University in Finland. You will be joining a larger group of researchers working on similar topics
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a dynamic, international research environment. Your experience and ambitions Required Qualifications PhD in Electrical Engineering, Physics, Photonics, Materials Science, or related field Strong
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Researcher position: PhD in Applied Mathematics, Engineering Physics, Electrical Engineering, or related field. A good command of English, both written and spoken. Good programming skills in languages such as
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interactive prototypes for scenario testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in