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Espen Eidum 30th September 2026 Languages English English English Faculty of Engineering Science and Technology PhD Fellow in AI-Automated Voltage Control for Future Distribution Networks Apply
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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of commencement of employment). Have proven experience with quantitative and qualitative research methods, including surveys, interviews, workshop design, and statistical techniques of data analysis. Have
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fellowships are recruitment positions intended to lead to a PhD degree at the Faculty of Law. Applicants must be qualified for admission to the PhD programme at The Faculty of Law. More information about the
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of multi-modal datasets, including MRI/fMRI, behavioural and audio data Develop reproducible statistical and machine learning analysis pipelines Support grant writing, ethics submissions and project
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lead the measurement and analysis of environmental radionuclides, ensuring high standards of calibration, spectral interpretation, and data quality. You should have a (or be about to obtain) PhD in
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on the analysis of biological interactions in a context of environmental changes. Work Plan: Within the scope of the fellowship, the following tasks will be developed: Analysis of ecological data from field
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data analysis highly beneficial. Previous laboratory experience in infectious disease research.. Research FieldBiological sciences Additional Information Selection process Application deadline: 08-10
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of this position is to work on active projects to generate data for publications and to also generate data for external funding. The prospective candidate should be willing to work in a collaborative environment
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-supervise HDR and undergraduate research students, providing guidance on experimental design, laboratory practice, data analysis and scientific writing. Work collaboratively across multidisciplinary teams and