18 parallel-processing "Computer Vision Center" Postdoctoral positions at Aalto University
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Artificial
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engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated
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is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and
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engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated
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build-up, benchmarking, operation and maintenance. PhD degree in physical/materials sciences/engineering/computer science or related disciplines. Experience in microwave signal processing. Strong
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Researchers in AI-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
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signals, and continuous-variables quantum information processing and sensing using parametric amplifiers. More details about these projects are available from the group leader. As a postdoctoral
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University of Turku, New York University Abu Dhabi, and Vrije Universiteit Amsterdam. Requirements A PhD in robotics, machine learning, computer vision, control, or a related field (candidates close
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, or close to completing a doctoral degree, in speech or audio processing, machine learning, signal processing, computer science, or a related field. Strong experience with deep learning and
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the device. The work combines advanced nanofabrication methods, such as electron-beam lithography and OLED fabrication via evaporation and solution-processing with sophisticated characterization