45 parallel-processing-bioinformatics positions at AALTO UNIVERSITY in United Kingdom
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questions relating to the recruitment process, HR Partner Jenna Knuutinen, jenna.knuutinen@aalto.fi . Join us! If you want to join our community, please submit your application through our recruitment system
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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
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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2025) in a relevant discipline and demonstrated hands-on experience with deep learning technologies. Experience with large language models or computer vision applications is considered as a plus. What we
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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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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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are identified. Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not
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entrepreneurship, please contact Professor Maija Renko (Maija.renko@aalto.fi ). On matters related to the application process, please contact our HR Partner Jenna Knuutinen (jenna.knuutinen@aalto.fi ). Ready to
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, please contact Professor Riku Jäntti, riku.jantti@aalto.f i. In any questions regarding the recruitment process, please contact HR Advisor Monika Mäkinen, hr-elec@aalto.fi . Please note: Aalto University’s
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Engineering major of the Master’s Programme in Computer, Communication and Information Sciences. In the Software Engineering track, students learn the processes, methods and techniques used in professional