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Field
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, machine learning and Quantitative Microbial Risk Assessment Microsimulation modelling, generating evidence directly relevant to national food safety policy. You will join a PhD student cohort with NIHR
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Social benefits Possibility of remote working in accordance with the established protocol Leave + RTT (additional days off): a maximum of 46 days per year to be taken during the contract period Title
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. The model microorganism Geobacter sulfurreducens is one of the most efficient producers of bioelectricity, and the current production has been linked a single extABCD gene cluster. Our preliminary
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national and international conferences; Active participation in activities of the department; Teaching (max. 10% of your time). Where to apply Website https://www.academictransfer.com/en/jobs/362638/phd
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their research in cross-disciplinary research areas and/or application areas such as the ones listed below: CROSS-DISCIPLINARY RESEARCH Nanomaterials &Nanofabrication Nanocharacterisation Modelling and simulation
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service-providing role in society. We are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping
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service-providing role in society. We are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping
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university. We offer an innovative academic education to more than 20000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest
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objective is to develop methods that move beyond correlation-based prediction toward causal reasoning, intervention-aware modelling, and interpretable AI systems. This transition from correlation to causation
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contribute to the development of predictive human in vitro models for ageing research while providing robust alternatives to animal experimentation. Where to apply Website https://emploi.cnrs.fr/Offres