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understanding of advanced programming areas, including modern machine learning and deep learning methods (e.g., MATLAB and Python) Expertise in one or more of the following areas is preferred: mechanical
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PhD student will expect to develop some experience in developing power systems models using a range of computer languages and tools (e.g. Python, MATLAB, OPNET, etc), ideally for applications involving
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imaging, both in vitro and in vivo. Develop, optimize, and maintain image analysis scripts and tools using Matlab/Python/LLMs (segmentation, quantification, post-processing), in line with the needs
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languages (e.g. Python, C++, Java, Fortran or Matlab); has knowledge of advanced GNSS data processing and analysis methods, including visualization; has a scientific publication record in journals indexed in
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), Experimentation, Genome-Wide Association Study (GWAS), Laboratory Operations, Laboratory Techniques, Magnetic Resonance, MATLAB, MRI Analysis, MRI Software, Neuroimaging, PET/CT, Presentations, Python (Programming
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., Python, Matlab, Fortran, C). Ability and willingness to learn new things. Good communication skills. See also the requirements of the University of Oulu Graduate School (UniOGS) . Salary The position is
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of physics related to electrodynamics and magnetohydrodynamics, geosciences, and solar physics. Experience in numerical modelling, knowledge of programming languages (e.g., Python, Matlab, Fortran, C). Ability
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PCB/CAD design Programming skills (Python / C++ / MATLAB) Basic knowledge of signal processing Highly motivated to design, implement and test novel ideas and concepts In accordance with Marie Skłodowska
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scientific programming and algorithms is desirable Experience working in a research environment a plus General languages (preferred): C++, Python, MATLAB CUDA (strongly preferred) Machine learning knowledge
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, provided they have advanced training in methodological statistics You should have advanced programming skills in R or in other statistical software such as Python, or MATLAB. You should have a solid