42 parallel-processing-bioinformatics positions at AALTO UNIVERSITY in United Kingdom
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the position, please contact the Head of Organizational and Management Unit, Associate Professor Alexei Koveshnikov. On matters related to the application process, please contact HR Partner Jenna Knuutinen
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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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) and hybrid materials, strength grading, statistical and probabilistic modelling of mechanical behaviour, and/or development of wood construction technologies and industrial processes. The specific
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++ Understanding of cellular network 4G and 5G technologies Familiarity with MATLAB Good study record in communications, mathematics and signal processing Some experience about flying multirotor drones would be
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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 . What we offer The fixed term contract is
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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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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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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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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