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department at the University. We are located in the heart of Basel at 6 different locations. Be part of our future! Antibiotic testing is still defined by bulk growth inhibition measurements. We aim to replace
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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical
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team to study challenging ethical problems related to medicine and the life sciences. Your position Contribute towards research projects on ethical issues related to biomedical ethics. Supervise PhD
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recording. Actively engaging and working closely with our multidisciplinary team of PhD students and postdocs to support them with their own analyses and perform analyses for their projects. Performing
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polystyrene-based lithography (Prof. Michał Krupiński, Kraków, Poland) Your profile Essential PhD in physics, materials science, or related field Expertise in thin film magnetism Strong publication record
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electrophysiological recordings to track how tumor invasion alters neuronal network activity at single-cell and population levels Apply spatial transcriptomic techniques to map gene expression changes in tumor-connected
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English linguistics Play an active role in the departmental linguistics team excellent, linguistically oriented degree (MA/PhD) in the field of English linguistics (or, if applicable, comparative
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facilities and equipment. Your profile enthusiastic and curious personality PhD degree in organic/polymer chemistry or a related field strong expertise in synthesizing and characterizing hydrogels/soft
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., fluorescence and confocal microscopy), as well as organoid-based disease modeling is an advantage. An interest for software-based analysis and ev. R-programming is welcome. We welcome applicants who are detail
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are furthermore advantageous. As a postdoctoral researcher, you will also assist PhD students, e.g., with the structural elucidation of proteins. The candidate will join a dynamic multidisciplinary research group