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Field
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, extensive computing resources and close day-to-day supervision within the group. Tasks and responsibilities: include developing reconstruction algorithms for the muon bundles recorded by KM3NeT; extracting
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without invasive surgery. Project background We develop advanced focused ultrasound technologies, adaptive closed-loop control algorithms, and ultrasound-responsive micro/nano therapeutic carriers as an
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candidate has an MSc in Computer Science and is interested in theory, development, or usage of formal methods. Fluency in English is required. Hosting environment FORM is embedded in the Section of Artificial
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research on post-quantum cryptographic algorithms and protocols, assisting in the design, implementation, testing, and evaluation of secure cryptographic solutions resilient to quantum attacks, and
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their daily travel needs by local trips in practice and to understand current barriers to meeting sustainable travel objectives; Contribute to the development of a modeling environment that allows
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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out together with seven industrial partners and is externally funded by the Knowledge Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods
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experimental collaborators. The position is part of the Research Council of Finland project ELPH-ML (https://research.fi/en/results/funding/88752 ). In combination with academic development courses at Aalto
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expert in modelling: what matters most is your passion for human physiology, your curiosity about cancer cells behaviour, and your willingness to develop new computational skills along the way
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of Finland project ELPH-ML (https://research.fi/en/results/funding/88752 ). In combination with academic development courses at Aalto University, we will help you grow a competitive and international career