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analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g., GraphPad Prism, R, or Python
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. The opportunity to participate in research collaborations and international conferences. A stepping stone towards future career opportunities in the European R&D sectors. A stay in a vibrant environment in the
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] Co-supervisors/mentors: Prof. M. Matinmikko-Blue [OULU], Dr. R. Martinez [KUL], and Dr. J. Buysse [Citymesh] Required profile: Telecommunications, Electrical Engineering Desirable skills/interests
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the context of type 1 diabetes. Essential Master's in bioinformatics, data science, biomedicine, bioengineering, biotechnology or related fields Programming experience in Python and/or R Excellent