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, gradient coil design, etc. programming skills with MATLAB, C/C++ or Python skills and experience in manufacturing methods, such as 3-D printing experience in MRI image reconstruction (nonuniform FFT
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(NVS), particularly in epilepsy. designing, implementing, and validating numerical solvers using MATLAB and Python, leveraging realistic brain geometries derived from MRI. integrating multimodal
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require the following: Strong programming skills (Python, C++, JavaScript frameworks etc.) Knowledge of digital twin technologies and simulation platforms Knowledge of Deep Reinforcement Learning frameworks
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of physical systems AI-based condition monitoring Reinforcement learning Programming skills are required, with Python experience preferred. Theoretical understanding and hands-on experience with electric
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devices Good understanding of superconductivity and topological materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working
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electron gases and semiconducting devices Good understanding of superconductivity and energy bands in materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python
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resources for research including LUMI supercomputer and close collaboration with companies and the ELLIS network. Read more and apply by February 9 at https://www.ellisinstitute.fi/postdoc-recruit-2026 Where
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the Finnish-language job announcement for further information: https://ats.talentadore.com/apply/tutkijatohtori-sustainable-rural-futures-hanke/m5npoR Department of History and Ethnology The Faculty
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fields. Your research can be theoretical, applied, or span both. Deadline February 9, 2026. Where to apply Website https://jobrxiv.org/job/ellis-institute-finland-27778-postdocs-in-machine-learn
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degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational-documents . Finland is a member of the EU, has high quality free