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demonstrate strong interpersonal skills. You will also have: Completion of a PhD in environmental microbiology, soil biology, microbial biotechnology or related discipline Demonstrated experience in effective
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, invasive species, and environmentally and economically sustainable agricultural practices. Our expertise spans biophysical, social and technical sciences, and we support a large cohort of PhD students across
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for decision-making on preventive health interventions. The ideal candidate, reporting to Dr. Tim Wilson, will possess a PhD qualification, strong communication skills, and experience in simulation modelling
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impacts of interventions. The ideal candidate, reporting to the Head of the Population Interventions Unit, will have a PhD qualification, experience managing large-scale research projects, and strong
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also have: A postgraduate degree (Masters or Doctoral degree) in animal or veterinary sciences or a related discipline; progress towards a Masters or PhD; or a graduate degree in a relevant field with
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are seeking a passionate educator, with a completed or near-completed PhD in History, specialising in women and gender history. With a demonstrated ability to teach at undergraduate level, you are capable
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segmentation models. Cross-modality synthesis (CT to MR and vice versa) to infer structures not visible in a single mode Scholarship Description This is a full-time on-site role for a PhD Scholarship - CT and
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applications in various biological contexts. You will also have: A PhD in a relevant field of biology; Expertise in genomics, bioinformatics and phylogenetics; Evidence of experience in quality undergraduate and
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. Additionally, your strong organisational skills and effective teamwork enable efficient management of deadlines and demands. You will also have: A PhD in a relevant discipline such as implementation science
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collaboratively with internal and external stakeholders. You will also have: A PhD in AI, Machine Learning, Natural Language Processing, or closely related discipline; Excellent ability in analysing data, problem