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. As part of BioM , the candidate will work in an interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest
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technologies and biotechnologies to break them down. http://www.recetox.muni.cz/en/career/career-at-recetox About the Research Group The Environmental epidemiology ERA Chair research group integrates approaches
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particular emphasis on its contribution to biodiversity conservation and carbon sequestration under ecological restoration scenarios. The project will integrate spatial analysis, connectivity modelling, and
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Palaiseau, le de France | France | about 1 month ago
appelé Cloud-Resolving Model (CRM). Il s'agit d'un modèle atmosphérique non hydrostatique simulant un domaine local relativement petit (quelques centaines de kilomètres, comparé au rayon de Jupiter de 70
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. Developing relevant modelling tools to support comprehensive analyses of livestock systems. Assessing environmental impacts of current livestock production systems and evaluating potential outcomes from
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Description Bioinformatics and computational biology integrate computer science, mathematics, and biology, focusing on processing, analyzing, and modeling biological data and processes at the molecular and
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. The position combines offshore fieldwork, laboratory analysis and modelling, with clear pathways to publication and impact. The outputs of this role will directly inform MOSAIC’s coordinated conservation
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 26 days ago
large spatial scale. Ultimately, the work presented in this PhD project can contribute to such developments. The overall objective of this PhD project is to understand how wind erosion selects and
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Commission we are looking for a Phd candidate to analyze urban trends. Using detailed spatial data, you will analyze changes in the physical manifestation of cities. So, how does the urban area develop because
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented