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methodological and applied research questions. Applicants should hold a master’s degree in transportation engineering, civil engineering, computer science, data science, economics, or a closely related field
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on biomedical engineering, biophysics, and brain research. We combine experimental and computational methods and develop algorithms, as well as new technologies to tackle major problems in human well-being and
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environment and be willing to engage with both methodological and applied research questions. Applicants should hold a master’s degree in transportation engineering, civil engineering, computer science, data
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Deadline 9 Jan 2026 - 00:00 (UTC) Type of Contract Permanent 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
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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
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The Department of Computer Science at Aalto University invites applications for a tenure-track position at the Assistant Professor level in computer science. This is a broad call and all areas
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, experimental, and computational research on materials science, with a focus on metallic alloys. The Materials to Products (M2P) research group investigates the properties and performance of engineering materials
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computational research on materials science, with a focus on metallic alloys. The Materials to Products (M2P) research group investigates the properties and performance of engineering materials processed by
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Application Deadline 25 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
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experimental and computational / theory research. Your background and expertise A study background and doctorate degree in computational soft materials physics, polymer technology, chemistry, materials science