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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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educational system. Experience with analysis of electrophysiological neural recordings or human neuroimaging data Experience with scientific programming (e.g., Python, MatLab, R or similar) Excellent written
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reconstruction methods (e.g., Born/Rytov approximations, multislice or multiple-scattering models). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including
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simulation tools A solid background in programming and signal processing (C, Matlab, Python, …) Experience from satellite projects (development, operation, data analysis) A desire to achieve good oral and
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the EU AI Act, is necessary Familiarity with popular computer languages and popular tools such as Python, MATLAB, C++, along with a strong willingness to learn more, is essential PLEASE NOTE: For
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an international and interactive environment. Candidates must have extensive experience with: Programming (including MATLAB) and computational modelling Machine Learning (ML) methodology applied for complex data
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on material design by using PyTorch or Matlab PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. The appointment is to be made in accordance
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simulation tools A solid background in programming and signal processing (C, Matlab, Python, …) Experience from satellite projects (development, operation, data analysis) A desire to achieve good oral and
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have until 30.06.2026 to complete the final exam. Desired / Beneficial qualifications: Valid driver’s license. Programming and numerical analysis skills (e.g., Python, MATLAB) and/or experience with
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analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks on material design by using PyTorch or Matlab PLEASE