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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department
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issues in handling large datasets, and collecting data and undertaking appropriate analysis of data. Informal enquiries can be addressed to Prof. Stefan Piechnik - stefan.piechnik@cardiov.ox.ac.uk For more
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(Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic connections in
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Centre. The postholder will work on a Wellcome funded project on the impacts of loneliness and social isolation on adolescents. The main duties for this role will be analysing existing large-scale data
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Language Models for Data-to-Text Problems” and involves the study of technical methods and approaches for adapting large language models to tasks mixing text and structured data, such as statistical report
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of methodologies and processes for managing large scale databases. Demonstrated experience in handling large data sets and relational databases. Knowledge of addressing and metadata standards. Advanced written and
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[Appointment period: six months] Duties The appointees will assist the project leader in the research project - “Causality-aware trustworthy Large Language Model”. The appointees will be required to: (a
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 7 hours ago
modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
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these changes to make predictions from large scale remotely sensed data (such as satellites). This approach also allows the natural landscape variation to be used as a proxy for climate-driven tundra change