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, each focusing on one analytical stream: (1) sustainability performance, (2) democracy, justice, legitimacy, (3) global patterns, and (4) environmental impact assessments. This PhD project will be co
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Experience in LLMs and developing LLM-based methods is an advantage Programming skills, ideally in Python Structured, analytical, and independent working style Reliability, attention to detail, and enjoyment
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characterized to be far from thermal equilibrium, such that the governing physical principles have to be reconsidered. We combine modeling, high performance computing, and analytical theories tailored
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modelling, and computational research Strong analytical and independent working style Excellent teamwork and communication skills Very good command of written and spoken English with extensive vocabulary is
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for and barriers against more sustainable approaches. The successful candidate will have strong empirical and analytical skills in the study of science and technology while also having an interest in and
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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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additive manufacturing, materials, and resource issues Analytical thinking and interest in systemic issues Basic knowledge of quantitative methods, data analysis, or modeling is an advantage Very good
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-level B2 . demonstrate the ability to work independently and manage time effectively. show team spirit. possess a collaborative mindset and strong communication skills. exhibit analytical thinking and
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cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food components. To strengthen our
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Degree PhD Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network/index.html . Teaching