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learning and generative models. Programming skills suitable for modern machine learning research, preferably including Python and deep learning frameworks. Interest in one or more of the following areas
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data-analysis and programming skills (e.g., Python, MATLAB, or similar). A hands-on approach to experiments, patience in troubleshooting, good communication skills, and the ability to work both
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mass transfer. Experience with microscopy, surface characterization, nanofabrication, or experimental instrument development is an advantage. Good data-analysis and programming skills (e.g., Python
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, Python or similar programming languages. Previous research experience with toolkits for quantum computing such as Qiskit, QuTiP, PennyLane, Quil, etc. Familiarity with the firmware of various control
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engineering, or a related field. Strong interest in doctoral research on audio deepfake detection, watermarking, source tracing, and generative AI. Good programming skills, preferably including Python and
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-defined radio and experimental wireless systems Python, MATLAB, C/C++, GNU Radio, or comparable research tools Previous experience in all these areas is not expected. We welcome applicants whose main
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independently and in a team, and an interest in working with industry partners Willingness to do hands-on work underground and in the laboratory Basic programming ability in Python, MATLAB, R, or similar
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to do hands-on work underground and in the laboratory Basic programming ability in Python, MATLAB, R, or similar Ability to work on site in Otaniemi campus. Demonstrated experience/familiarity with
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(experience in multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C++, or similar