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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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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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the livestock sectors, climate change and policy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading to an internationally competitive PhD degree
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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
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performance, detect artefacts, and ensure scientific rigor Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis Ready to work with time‑series data, sensor fusion
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, MATERIALS SCIENCE, MODELING AND SIMULATION, MOLECULAR SIMULATIONS, NUCLEAR WASTE MANAGEMENT, PLASMA PHYSICS, PHOTOVOLTAICS, SYNTHETIC FUELS AND GREEN CHEMICALS, SYSTEMS ANALYSIS, TECHNOLOGIES FOR THE HYDROGEN
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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design and impact analysis, resource allocation, growth and welfare evaluation, technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and internationally peer
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antibiotic access barriers and the analysis of incentives for the development and adoption of new antibiotics. The candidate is expected to produce a cumulative doctoral dissertation within that project