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and interest in evolutionary ecology, plant biology and biostatistics to discover how plant defenses have evolved by using statistical approaches combined with experimental work. In this project you
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applicants will have postgraduate qualifications in epidemiology, biostatistics, public health, or another similar field. They must also meet the English language proficiency requirements as described in
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, and creative individual to join our team. The candidate should have a strong interest in clinical epilepsy/neurology research and be open to acquire novel skills in bioinformatics, biostatistics, and
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, and creative individual to join our team. The candidate should have a strong interest in clinical epilepsy/neurology research and be open to acquire novel skills in bioinformatics, biostatistics, and
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position is available for a motivated student with experience in biostatistics, molecular epidemiology, biomedicine and large-scale computational analysis. The position is based in the research group led by
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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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this project. Job Responsibilities The postdoctoral scholar will be an expert in clinical assessment, developmental science, biostatistics, and/or implementation science and able to effectively lead and execute
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Learning Lab, along with the Alan Turing Institute, the MRC Biostatistics Unit, and the Stan community. The position is based in Central Cambridge, UK. The project synthesises and advances insights from
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and functional T cell assays. The PhD candidate: The preferred PhD candidate will have completed an Honours or Masters degree in immunology, microbiology, bioinformatics, biostatistics or a related
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, the Copernicus Institute of Sustainable Development, and the Department of Data Science and Biostatistics at the Julius Centre, University Medical Centre Utrecht. As a PhD candidate, you will be based within