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-omics machine learning and AI model using liquid biopsy next generation sequencing data for early cancer detection. About You Must have a strong background in the field of cell-free DNA. Including
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to learn and work independently and as part of a larger team working on the transition to the circular economy. What we offer At the University of Oxford your happiness and wellbeing at work is important to
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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expertise and initiative through international publications in peer-reviewed journals Experience in research management Didactic skills and experience in e-learning Good IT skills Excellent knowledge
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evaluate and embed learnings from the project that will influence T Level policy and curriculum development. The project has workstreams around the promotion of technical careers, T Level placements, and
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to apply as early as possible if you would like to be considered for a role. Please click here to learn important information about applying for a position at LSTM.
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learning architectures. Responsibilities encompass conducting independent systems-level research, developing robust software prototypes, executing rigorous performance evaluations, and disseminating findings
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analysis and machine learning models in two heat stressed, peri-urban regions of South Indian Karnataka (Bidar, Chikkaballapur districts). Working with different stakeholders in these regions, BREATHE will
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strongly encourage applications from all backgrounds and genders to apply. A teaching clause is mandatory for all grade 7 and above contracts. The post-holder will have the opportunity to teach. Only
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. b (postdoc) Limited until: 31.08.2029 Reference no.: 5934 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if