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using structure‑based and medicinal chemistry approaches, contribute to pharmacokinetic optimisation, and support broader discovery activities, including data analysis, sample preparation, and report
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defined projects relevant to their field. This project requires a strong background in advanced signal processing and machine learning/AI for biomedical signal analysis. The successful candidate will focus
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to the development of radar and RF IC components Supporting radar signal processing and RF circuit development activities Conducting data collection and advanced signal analysis to ensure accurate sensing using radar
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in data collection, management and advanced analysis is essential, alongside a proven publication record, proficiency in Stata and Microsoft Office, and the capacity to contribute to competitive grant
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in vivo studies to evaluate drug and biologics delivery across the BBB Performing quantitative analysis of small molecules and biologics Working with in vitro cell culture systems and relevant disease
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collection or analysis Excellent written and verbal communication skills Strong attention to confidentiality, privacy and research integrity Confidence working collegially within multidisciplinary teams
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or translational research, preferably in neurorehabilitation or neurological populations Demonstrated experience with data analysis, systematic reviews, and manuscript preparation Experience supervising students and
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, including a strong track record of refereed publications and advanced skills in systematic literature review, data collection, and analysis of interviews and surveys. You will have proven problem-solving
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prompts Develop predictive models for sepsis, deterioration and ICU outcomes Create reproducible analysis frameworks using R/Python, GitHub, Quarto or R Markdown Produce real-time dashboards for ICU
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, characterization and evaluation of novel PfM1 and M17 aminopeptidase inhibitors. This would include compound design, data management and analysis and sample preparation as well as a range of drug discovery-related