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more than journal article length that includes statistical analysis, as part of your application. Informal enquiries about the role are welcomed and should be directed to Professor Manali Desai: md644
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 days ago
at scientific meetings and conferences. References: [1] Preda C, Grimonprez Q, Vandewalle V. Categorical Functional Data Analysis. The cfda R Package. Mathematics. 2021; 9(23):3074. https://doi.org/10.3390
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The Department of Classics and Archaeology at the University of Nottingham is seeking a Research Associate/Fellow in digital curation and analysis to work on the AHRC-funded project Voices
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studies atmospheric aerosol particles and their impacts on climate and air quality using in-situ and satellite measurements, process modelling, and global modelling. The group is part of the strategic
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of Dr Marco Monopoli in the Chemistry Department at RCSI University of Medicine and Health Sciences. The priority focus of this role is on utilising and applying mass spectrometry and glycan analysis
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detailed single-cell RNA-sequencing data analysis using high-performance computing resources. You will work collaboratively with other researchers, contribute to publications and presentations, support lab
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teams or pursue their own research project or vision relevant to the department’s profile. The department develops mathematical, statistical, and computational methods for the analysis of complex systems
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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data
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spans multiple interconnected areas: Development and operation of next-generation analysis systems for the High-Luminosity LHC era, including columnar analysis frameworks, scalable distributed computing
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energy supply systems, multi-objective and stochastic optimization, advanced statistical analysis, and data visualization. This position offers the opportunity to work with a multidisciplinary team of