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scientists with the skills and knowledge to study complex biological processes that cannot be adequately understood within the limits of a single discipline. Projects and training are offered by around 25
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cutting-edge approach and high-level infrastructure. To ensure a comprehensive education, the programme combines scientific achievements with a certified structured training curriculum. Doctoral researchers
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degree / double degree programme No Description/content The GSN-LMU offers a research-oriented, well-structured, and carefully supervised training programme in systemic neurosciences and related fields
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biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food components. To strengthen our research group Food
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The Regensburg International Graduate School of Life Sciences (RIGeL) offers a well-structured PhD programme for young scientists in the field of Life Sciences. The PhD programme assures a high quality education
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routinely collected and systematically recorded. A further increase in complexity is expected in the coming years due to increasing use of molecular and imaging diagnostics. The degree of resolution – already
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for the recruitment of leading international female scientists (W3) . The increasing complexity of the content, structures and framework conditions of scientific work today requires researchers to organize
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for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research
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This programme has no deadline listed. Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content The statistical physics of complex systems is a very broad field
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Excellence Research at IMPRS-ML is organised across three closely connected branches that explore the structure, function and dynamics of biomolecules and how they interact within complex biological systems