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by a relevant master research project experience or course study); a theoretical background and an interest in inland-water carbon cycling especially methane processes, biogeochemistry, redox reactions
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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or genetics are organized in two focal areas: ‘Molecular Mechanisms of Biological Processes’ and ‘Physiology and Systems Biology’. The ideal candidate must be highly motivated, hard-working, ambitious, creative
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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research themes are Earth & Planetary Processes, Sustainable Use of the Subsurface, Planetary Health & Environment, and Climate & Life. The department hosts a highly international tenured staff of over 50
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understanding of the decision-making process of street-level workers. This PhD project ‘ICONIC’ (‘International Comparative research Of street-level decisions in superdiverse Neighbourhoods In Context’) funded by
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. This demands renewed understanding of the decision-making process of street-level workers. This PhD project ‘ICONIC’ (‘International Comparative research Of street-level decisions in superdiverse Neighbourhoods
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Values function as our internal compass and create EUR’s distinctive and recognizable profile. From these values, with a broad perspective and with an eye for diversity, different backgrounds and opinions
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with the option of renewal for another three years; prolongation of the contract is contingent on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within
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recognizable profile. From these values, with a broad perspective and with an eye for diversity, different backgrounds and opinions, our employees work closely together to solve societal challenges from