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, precise and is pathogen agnostic, you don’t need prior knowledge of which pathogen is causing the infection to use it as a diagnostic. Challenges remain however in standardisation, application and
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mental health issues, using statistical techniques including network analysis. Naturally, we are seeking a student with a keen interest in the topic of loneliness and/or mental health. In addition
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Strong publication record A keen and documented interest in the research agenda of the project Experience with analysis of longitudinal data and related data management Proficiency in using Stata and/or R
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this research frontier. This project is a key part of our broader initiative to employ innovative, interpretable data-driven analysis methods and significantly advance our understanding of immune cell inter
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Professor, appointment-stream position. Responsibilities include ensuring the performance of lab projects, including the inner retina function in retinal dystrophies and following treatment, ARPA-H optic
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comparative analysis of XAI techniques in two key directions: their capacity to enhance the interpretability and usability of model outputs for non-technical stakeholders—partners, such as policy-makers
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, material synthesis, catalysis, analysis and characterisation, battery cell, recycling, sustainability and life cycle analysis. Theory and Modelling Theoretical work is conducted on very different length- and
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agency requirements. Design and execution of experiments and analysis of data (15%): Conduct cell culture, live cell microscopy/imaging, high-throughput screening, and quantitative data analysis. Work
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helping them in their experiments, acquisition, analysis and interpretation of data. Another requirement would be the ability to write reports, make presentations and contribute to writing the grant
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datasets we will use bioinformatics to enable quicker and more comprehensive analysis. Aims: By using a bioinformatics analysis pipeline we will investigate whether vaccination responses are affected by