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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are
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have: A PhD (or equivalent) in a relevant discipline (e.g., biostatistics, machine learning, computer science, clinical informatics, natural language processing). Strong skills in data analysis and
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equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have a PhD in immunology
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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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(APMU) required timelines, the interpretation of analytical mass spectrometric data for anabolic steroids and the technical operation of the GC-MS and GC-C-IRMS instruments (troubleshooting and planned
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further information about our Department, please visit our website . About the role The postdoctoral position will be an integrative part of an exciting ERC project dedicated to biosynthesize and
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results) Proficient in using R, Python or similar programming language Experience of working with clinical or equivalent data. Experience in developing analytic pipelines. Desirable criteria Experience
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to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and predictive analytics Good communication skills and
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click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have
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includes specialists in regulatory affairs, clinical trials, quality, and clinical governance, to provide analytical leadership for LIHE’s MedTech programmes, including the MedTech Venture Builder (MVB