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conferences. Enjoy protected research time to pursue independent research interests. Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python
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applications. The division is focused on the development and application of novel computational methods at the interface of deep learning and classical biophysical modeling to address relevant topics in drug
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CH-4051 Basel Switzerland j.buechele@unibas.ch The following documents must be included: Letter of motivation and Curriculum Vitae (with a list of publications if applicable) Draft of the PhD project
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has seen rapidly growing demand in recent years. In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on artificial intelligence, for modelling of macromolecular complexes
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diseases. To understand and promote the well-being of people in different cultural and environmental contexts, EPH applies various methods ranging from anthropology and social science to biostatistics and
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evolution of gene regulation. Besides using a variety of quantitative techniques including flow-cytometry and in-lab evolution, our lab has developed cutting-edge methods that combine microfluidics with time
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their own research questions. They are expected to collaborate closely with other team members and researchers from other institutions, will co-supervise PhD and MSc students, and contribute to teaching and
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of Basel calls for applications for two one-year start-up grants of CHF 32,000 (beginning April 1, 2026). The grant is designed to support promising junior researchers in developing a PhD project to apply
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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
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pneumoniae and Acinetobacter baumannii. You will be working in a trans-national research consortium including experts in structure-based modelling, structure biology and chemistry. PhD in Molecular Biology