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‑weather environments. You will work in Aalto’s High‑Performance Computing Lab within the PEAS (Population of Exoplanets around Active Suns) consortium alongside leading teams in stellar astrophysics
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-level circuit design and simulation What We Offer We provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard circuit simulation tools
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-performance computing infrastructure, and evaluation using objective metrics and subjective listening tests. Your network and team You will be supervised by Assistant Professor Lauri Juvela , who leads the
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Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to pursue a degree in
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fleet can act as one Virtual Power Plant. Read more about the project and other participants here: https://aegis-dn.eu/ Your role: You will be working on “End-to-End Energy Modeling for Distributed AI
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: Developing signal models, algorithms, and performance analyses for backscatter-assisted non-line-of-sight positioning Applying detection and estimation theory to questions such as detectability
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researcher in the field of protein-nucleic acid hybrid materials We are seeking a doctoral researcher to join a Research Council of Finland-funded project ( https://research.fi/en/results/funding/88763
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algorithm: Developing theory for trajectory-centric stochastic optimization under non-ergodic dynamics; Implementing practical RL algorithms that optimize long-term performance of individual agents
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, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en
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, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/mobile-robotics ) and Intelligent