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, Python, or similar tools Familiarity with machine learning and deep learning methods Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Engineering as
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engineering, deep learning, condition monitoring, signal processing, Bayesian inference, or prognostics and health management. Programming skills suitable for research implementation, preferably in Python
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processing, Bayesian inference, or prognostics and health management. Programming skills suitable for research implementation, preferably in Python, MATLAB or a similar scientific computing environment. Good
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; Ability to interact with data and software programmatically (for example, familiarity with Python scripting) Strong command of written and spoken English, including the ability to effectively communicate
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or similar. Running social simulations with AI agents using platforms like Concordia or similar. Coding in Python or a similar language for simulation, visualization, and advanced statistical analysis (causal
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, [email protected] . More information about the SkyWake project: https://www.aalto.fi/en/innovation-portfolio/skywake More information about Business Finland Research to Business funding: https
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), especially for reactions on surfaces Hands-on experience with high-performance computing (HPC) environments, coding/scripting (Python, Bash), and version control (Git) Strong command of written and spoken
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Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future . Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto and c heck out our new virtual
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. See Teaching portfolio guidelines for candidate General instructions for applicants including evaluation criteria, language requirements and guidelines for compiling your CV are given at https
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website at https://www.hiit.fi/hiit-postdoctoral-fellow-positions-in-computer-science . For questions regarding these positions, please contact the HIIT coordinator at [email protected] More about Aalto