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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward analytics that support precision care in mental health. We have a strong interest in
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the use of analytical chemistry techniques to detect fermentation end-products
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Applications are invited for a Postdoctoral Research Assistant with expertise in high-resolution, analytical scanning transmission electron microscopy applied to next-generation semiconductors
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addressing the Sustainable Development Goals. The role requires a well-rounded researcher with strong analytical and digital skills, social media awareness, and the capacity to generate real-world impact for
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multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward
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the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and
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team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward analytics that support precision care in mental health. We have a strong interest in
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team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward analytics that support precision care in mental health. We have a strong interest in
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metabolic pathways in bacteria Experience in microbial fermentation process Experience in organic chemistry, chemical synthesis, or chemical biology Experience in the use of analytical chemistry techniques