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drive the gradual development of these technologies toward real-world applications. This involves engineering experimental hardware for cell culturing workflows, optimizing experimental processes, and
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recruitment process, so feel free to ask us for feedback. Want to know more about us and your future colleagues? You can visit our webpages and watch these videos: Department of Industrial Engineering and
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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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skilled and analytical Energy Systems Engineer to join our core R&D team. As the third member of our technical team, you will play a pivotal role in advancing our technology from a laboratory prototype to a
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learning or deep learning in image post-processing Experience using optical tools, e.g., high-speed cameras, intensifiers, spectrometers, lasers, etc. The applicant for the position of a doctoral Candidate
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, the method development will include machine learning based image recognition/processing techniques to enable computational microscopy and experimental matching. For position 3, the method development will
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and psychophysical measurement systems at Aalto Behavioral Laboratory (ABL). Computational infrastructure comprised of Triton high-performance computing cluster, CSC – IT Center for Science, and LUMI
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at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . WE OFFER The position will be filled for a period of 4 years (2 + 2). The starting date is in October 2025 or as
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is not required. Other requirements: MSc degree in Physics and excellent student track records. See Aalto Doctoral Programme in Science | Aalto University for more details on the evaluation criteria
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is