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-impact resource that improves mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values (https://www.unibas.ch/en/Research
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focuses on the development of sustainability-focused course offerings at the University of Basel. Specifically, it comprises: Supporting the development of flipped classroom courses (e.g., for the Pathways
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mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity.html ), we
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development. • Familiarity with machine learning, dimensionality reduction, clustering, and statistical modeling. • Strong communication skills, interest in interdisciplinary work, and ability to train students
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to their own samples. Contribute to development of facility infrastructure for long-term whole-tissue profiling. PhD in neuroscience, bioengineering, biophysics, molecular biology, or related discipline
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candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation & continual learning, agentic
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research. The successful candidate will teach Egyptology at both undergraduate and postgraduate level (BA, MA, PhD) and will contribute to the development of the integrated degree programme of the Department