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is not required. If you are chosen for this position, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student
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(AWSoM/IA) to model stellar coronae and winds driven by dynamo‑generated surface magnetic maps. Disseminate results in journals and conferences; contribute to open‑science releases of data and code. In
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reports, simulations, analysis, code samples, or documentation (multiple references are considered beneficial). The above duties are not exhaustive; the PhD candidate may be required to undertake other
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sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven
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science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting
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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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Aug 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Researcher in Non-gray Thermal Radiation Modelling We are seeking a highly motivated Doctoral Researcher in thermal radiation modelling to join the Fire Safety Engineering research group in the Department
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-molecule inhibitors in combination with different non-growth and growth areas be exploited in the design of new AS-ALD processes? How do the surfaces and deposited thin-films evolve during typical ALD