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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering
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, and mineralogy Independent, self‑driven researcher with a strong problem‑solving mindset Proven team player, able to collaborate across multiple institutions Critical thinking to assess model
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Description Bacterial biofilms are ubiquitous and play a critical role in many aspects of human life. They help us to digest food and keep our teeth clean, but they can also cause deadly hospital
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the skin perform diverse functions. Acting primarily as sentinel cells, they form a critical bridge between the innate and adaptive immune system. Their ability to detect and respond to virtually all
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on the analysis and simulation of nonlinear partial differential equations arising in the context of interacting species study of interaction systems with applications to developmental biology, such as pattern
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microscopy and traction force microcopy, as well as data analysis, development of theoretical models, and preparation of data for presentations and publications. We are looking for a motivated candidate, who
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protein structure analysis. Required skills: High motivation, curiosity, self-driven, critical thinking, strong team-player, good English, high interest in protein structure and machine learning. This PhD
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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tasks Conducting feeding trials on functional feed with juvenile trout (Bremerhaven) RT-QPCR analysis of target genes, histology Presentation of research results Publication of results in international
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for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute to the studies of protein