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such as environmental consultancies and agencies. DESCRIPTION OF THE PhD PROJECT The main objective of the PhD project is to elucidate the pathogens and antimicrobial resistance (AMR) flows between
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Primary supervisor - Prof Alison Mather Bacterial pathogens and antimicrobial resistance (AMR) present a grave threat to human health and wealth, as well as the health of animals. Brazil is a major
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Centre d’Estudis Avançats de Blanes, Consejo Superior de Investigaciones científicas, CEAB-CSIC | Spain | about 1 month ago
that biofilms developed on anthropogenic litter accumulated on the streambed tend to be richer in antimicrobial resistance (AMR) and pathogens than natural stream substrata. The main objective of this PhD project
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Primary supervisor - Dr Nicol Janecko Campylobacter continues to be the main cause of bacterial foodborne illness in the UK with incidence increasing. This microbe not only causes gastroenteritis
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Biodiversity Strategy for 2030. In this context, the main scientific objective of Pharm-ERA is to develop and implement innovative concepts, methods and strategies to improve the monitoring and assessment
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. The studentship will start on 1st October 2024. Project Description Antimicrobial resistance (AMR) in bacterial, fungal and protozoan pathogens is a globally recognised threat to the treatment of infectious
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control measures. In addition to shifts in affected age groups and clinical presentations, the emergence and dominance of specific emm types has been concerning. The main objective of the BEATGAS project is
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An airborne multi-static radar (AMR) system is a system that includes several transmitters and receivers on several and separated airborne platforms. To realize all the benefits of an AMR system
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to become outstanding researchers in the field of antimicrobial resistance (AMR). All projects are embedded in a tight and synergistic academic-industrial collaboration focusing on developing novel leads
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-time (100%) TV-L E13. Position Overview: The position is on safety verification at the intersection between control theory and machine learning. As a Ph.D. candidate in the research team of Dr. Amr