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impactful research. A suitable background may be, for example, in industrial engineering and management, computer science, data analytics, bioinformation technology, systems sciences, statistics, economics or
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actions, anticipate future behavior, and reason under uncertainty. The methodological scope includes machine learning, computer vision, multimodal perception, probabilistic modeling, and interpretable
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sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven
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and analytics, and are keen to push the boundaries of data-driven materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as
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candidates and 350 master’s students graduate from the school every year. The school is home to 700 staff members, including 70 professors. To learn more, please visit eng.aalto.fi . We are now looking for a
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graduate from the school every year. The school is home to 700 staff members, including 70 professors. To learn more, please visit eng.aalto.fi . We are now looking for a Doctoral Researcher in Transport
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analytical and experimental skills. Ability to work independently toward project goals. Language requirements: EN: Professional proficiency in English is required. FI: Finnish proficiency is highly valued