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candidates Accompanying programme Ludwig-Maximilians-Universität München University location Activate map To activate the map, click on the "Show map" button. We would like to point out that data will be
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mandatory): Experience with AI toolchains, multimodal data, data engineering, or MLOps. Experience building APIs, data pipelines, databases, analytics platforms, or decision-support tools. Interest in
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(online information portal): LMU Gateway - LMU Munich Ludwig-Maximilians-Universität München University location Activate map To activate the map, click on the "Show map" button. We would like to point out
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Accompanying programme Welcome event Specialist counselling Visa matters Max-Planck-Zentrum für Physik und Medizin Location Activate map To activate the map, click on the "Show map" button. We would like
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Buddy programme Help with finding accommodation Support with registration procedures Max Planck Institute for Chemical Physics of Solids Location Activate map To activate the map, click on the "Show map
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mapping, geochemical data and drill cores, to be complemented by targeted additional field data acquisition. The database built in this project supports subsurface and reactive transport modelling. Project
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is looking for: PhD position in chemical complexity of textile production We are looking for a PhD candidate who will work to document and map the flows and environmental impact potential of chemicals
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., CAP, Soil Monitoring Law, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term
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, visionary, ethical, collaborative, curious,…). An engineering-oriented attitude (can-do, will-build, has-tested,…) Strong programming skills (e.g., Python) and app/web development (APIs, databases, front-end
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genetics, quantitative genetics or molecular biology. You are familiar with variant analysis workflows for QTL mapping, GWAS or linkage analysis. You have experience using the command line for bioinformatic