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can include, but are not limited to, machine learning (ML), Artificial Intelligence (AI), neuromorphic computing, and digital signal processing hardware accelerators; signal processing hardware system
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processed by advanced and sustainable manufacturing, integrated in the circular economy. The starting point in modern production at M2P is digital data, generated and optimized. Research methods encompass
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of the Department of Chemical and Metallurgical Engineering in the School of Chemical Engineering is based on sustainable utilization of raw materials, designing more efficient processes and developing new
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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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integrated circuit design. Possible focus areas can include, but are not limited to, machine learning (ML), Artificial Intelligence (AI), neuromorphic computing, and digital signal processing hardware
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) For questions related to the application process: hr-arch@aalto.fi We will review applications as they arrive and may invite suitable candidates for interviews during the application period. You will hear from us
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science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications, or a bit of both
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an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process while focusing on interesting computational problems and
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University. For more information on the general requirements and the application process for doctoral studies, please visit https://www.aalto.fi/en/doctoral-education/how-to-apply-for-doctoral-studies What we
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period, reopen the application process, and to consider candidates who have not submitted applications during the application period. Further information Professor Sebastian Szyller, e-mail "seb.szyller