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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Sete, Languedoc Roussillon | France | 15 days ago
MARBEC – Vietnam) You will be integrated into a multidisciplinary team combining microbial ecology, aquaculture, and social sciences within UMR MARBEC. What is the topic of the thesis? “Impact of
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, antibiotic resistance, and microbial interactions using experimental evolution, microbial ecology, and bioinformatics approaches. The lab works closely with national infrastructures such as SciLifeLab and
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Assistant Professor in Marine Biology & Ecology - Biomedical Science or Quantitative Systems Ecology
-factors Marine microbial ecology and microbiome studies tied to organismal health or adaptation Marine ecosystem health and links to human infectious and chronic disease Comparative or translational
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new methodological skills required for the project. A successful applicant will have a MSc degree in microbiology or ecology with a focus on microbial ecology, or a related discipline. Practical
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new methodological skills required for the project. A successful applicant will have a MSc degree in microbiology or ecology with a focus on microbial ecology, or a related discipline. Practical
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for learning new methodological skills required for the project. A successful applicant will have a MSc degree in microbiology or ecology with a focus on microbial ecology, or a related discipline
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biology, microbiology, environmental science and environmental engineering as well as disease ecology. The Linnaeus University centre in Ecology and Evolution in Microbial Model Systems (EEMiS) in Kalmar
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cause a harmful outcome instead. In this project, we will explore how the indirect basis of microbial interactions impacts their emergent ecology. Using a combination of ecological theory and controlled
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among family members in all life stages (doi: 10.1016/j.chom.2021.05.008). To investigate potential mechanisms and the impact on bacterial evolution, we created the PEARL-AGE cohort in Norwich (https
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of statistics, computer science and/or machine learning Interest in biology or molecular biology, microbial ecology Proficiency in programming languages such as Python, R and/or C++ as well as Linux systems