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EXAFS) and high-resolution Raman and diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) to unravel charge transfer mechanisms, active sites and intermediate molecules in the reaction
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)) that associate with the marked heterogeneity in CRC and disease outcome. Subsequently, you will investigate the potential of these CRC-associated mucin mRNA isoforms to predict the malignant transformation in
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. The project will be carried out under the supervision of Prof. Dr. Julia Heinemann and is entitled Historicizing healing. An actor-centered approach to the intersections of dis/ability, gender, religion and
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involved in various research projects and contributes to capacity building in health data science both locally via SQUARE . Your profile: You have a master degree in biostatistics or data science or a
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English and Dutch, preferably also French. Ability to summarize data extracted from literature and to define research objectives. Passion for science, self-motivation, flexibility, and team spirit Desirable
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mechanisms and multimodal data integration basic/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills