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, the Research Fellow will execute defined research workstreams, contribute to analytical strategy, and generate reproducible and clinically meaningful insights from large-scale genomic and health data. Research
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, Biophysics or a related discipline. You will have an interest in analytical techniques, and significant experience in structural mass spectrometry. The University of Leeds and the Faculty of Biological
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analytical instrumentation, including GC/MS, LC/MS, Py-GC/MS, and O-PTIR and SEM, etc. Responsibilities Conduct research on plastic weathering Develop analytical protocols for plastic analysis Mentor other lab
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, Dedoose and other data analytic methods Experience analyzing data from national and project specific datasets Possess excellent oral, written, analytical, organizational and interpersonal skills Strong
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in the Social Media Analytics, the Research Fellow will work closely with the Lead PI in carrying out in-depth research to deal with huge volume of real-time rich multi-model data, scalable big data
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, including analysis of genomic/metagenomic/transcriptomic data, would be an advantage. Experience with R, Python, Linux/Unix, sequence-analysis tools, or biological databases is an advantage. Good analytical
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independent research with a 1st Class/2.1 Degree in an appropriate subject such as chemistry, analytical chemistry, or environmental chemistry. Our Successful Candidate You will be an experienced Research
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to Elders past and present. · Drive innovation in digital forestry and geospatial analytics · Work with industry to translate research into operational outcomes · Relocation support may be available
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of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength of CGM-derived metrics (e.g., Time in Range (TIR
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analytics, or network analysis. • Experience in agent-based modeling or simulation is highly desirable. • Demonstrated ability to publish in internationally recognized peer-reviewed journals