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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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activity. The tasks include biophysical experiments with cells using optical microscopy and traction force microcopy, as well as data analysis, development of theoretical models, and preparation of data
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: Quantitative analysis of experimental data and description of spatial structures in crowds (e.g., Minkowski functionals, Voronoi analyses, clustering methods) Comparison of physical structural analyses with
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machine learning tools 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
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of molecular and biological matter 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
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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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feed with juvenile trout (Bremerhaven) RT-QPCR analysis of target genes, histology Presentation of research results Publication of results in international journals Close collaboration with other working
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cells, they form a critical bridge between the innate and adaptive immune system. Their ability to detect and respond to virtually all pathogens ensures rapid immune activation, while also modulating
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, PCR), of protein expression, purification and modification, of protein-chemical analysis and detection, of biophysical measurement (e.g. circular dichroism, fluorescence polarisation, FRET analysis) and
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Risk Analysis Group at TUM and Prof. Maria Pina Limongelli at Politecnico di Milano, offering an excellent international research environment. About us The Engineering Risk Analysis Group at TUM