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Field
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) Participation in R&D projects (EU, national, or regional) Scientific publications (JCR journals, international conferences) Advanced programming skills (Python, Java) and technical portfolio Academic Training (30
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methods. Knowledge of a programming language such as C/C++, Fortran, Python, Julia. Soft skills in the context of scientific writing and presentation, including knowledge of the typesetting language LaTeX
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Performs simulations and parameter estimation Contributes to coding (MATLAB, R, or Python) Assists with research reports and presentations Engages in a long-term research project leading to a thesis or
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: Contribute code in Python (and/or C++/JavaScript), work with APIs, and support cloud-based workflows (Google Cloud/Azure experience is a plus). Documentation and communication: Maintain clear technical
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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glasses), software pipelines (using Python libraries like BrainFlow, MNE-Python, and EEGLAB), and real-time data processing for applications like WebGrid-based motor-imagery classification. The role
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completed, please submit a short statement by the supervisor concerning progress) excellent coding skills (Python, Julia, C++, etc.) excellent communication skills excellent English skills We Offer
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B2 Some knowledge of Python and R programming from the command line for bioinformatics B3 Knowledge and experience of cell biology, FISH and microscopy methods Skills Essential: C1 Excellent
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-driven applications. Demonstrated expertise in designing, implementing, and evaluating complex software systems. Strong programming skills in relevant languages (e.g., Python, C++, Java) and experience