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airborne pathogens such as viruses, bacteria, and fungal spores. Current approaches are slow and labor-intensive, often relying on culture-based analysis that requires several days. This project aims
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, analyzing as well as integrating omics datasets, and interpreting findings. The candidate will primarily be engaged in the following activities: Develop analysis methods and advise on experimental design
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data analysis. The successful candidate will also be involved in the preparation of samples and their characterization using standard laboratory-based methods (optical and scanning electron microscopy
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-PDF), data analysis and modelling for partially crystalline material systems Developing lab-based X-ray multimodalities: X-ray diffraction & imaging presentation of scientific results through
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analysis with common programming languages such as Matlab or Python Hardware control via LabView, Matlab, Python or similar Research project management and student supervision We offer A highly
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health impact of environmental pollutants. To perform data analysis and result communication. Profile A doctoral degree in biotechnology, bioengineering, microbiology, or related fields with excellent
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ferroic materials with state-of-the-art 3D imaging in static and operando conditions, and unlock new insights through advanced data analysis. The successful candidate will also be involved in
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with