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_posts/2023-07-18-hdr-uk-phd-studentship.md

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## Applying and requirements
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**The deadline for applications is the 18th September 2023**
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**This studentship is still available - see below for details and how to apply.**
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<https://www.cs.manchester.ac.uk/study/postgraduate-research/research-projects/description/?projectid=36620>
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about.md

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permalink: /about/
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The [eScience Lab](/) research group is led by [Professor Carole Goble](http://www.manchester.ac.uk/research/Carole.goble/). The group is based at the [Department of Computer Science](http://www.cs.manchester.ac.uk/), [The University of Manchester](http://www.manchester.ac.uk). It's affiliated with the wider [Information Management Group](http://www.cs.manchester.ac.uk/img/).
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The [eScience Lab team](/people/) are focused on research and development around a set of tools designed for data driven and computational research. The tools support the coming together of people, data and methods in a particular research area; this is also know as an _e-laboratory_. These e-Laboratories or _e-Labs_ support domains as diverse as systems biology, social science, music, astronomy, multimedia and chemistry. The [tools](/products/) have been adopted by a large number of projects and institutions.
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The eScience Lab research group is led by [Professor Carole Goble](http://www.manchester.ac.uk/research/Carole.goble/). The group is based at the [Department of Computer Science](http://www.cs.manchester.ac.uk/), [The University of Manchester](http://www.manchester.ac.uk). It's affiliated with the wider [Information Management Group](http://www.cs.manchester.ac.uk/img/).
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Our [research](/publications/) and [projects](/projects/) span a wide array of topics, including eScience, bioinformatics, biodiversity, scholarly communication, reproducible science, linked data, provenance, community building and knowledge representation.
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The [eScience Lab team](/people/) are focused on the research and development of products and practices designed for data driven and computational research. The eScience [tools](/products/) and techniques support the coming together of people, data and methods, the sharing of the research objects of science and the automation of analysis and data pipelines using computational workflows.
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The eScience Lab currently has guaranteed funding until 2025.
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Our work can be called "Translational Computer Science" as we innovate solutions using state of the art knowledge
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approaches but also produce and run production services and resources for Digital Research Infrastructures, particularly
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those in the Biomedical Sciences and Biodiversity. Our tools and techniques have been adopted by a large number of
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[projects](/projects/) and institutions across Europe and internationally, as well as national organisations.
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Of particular focus in our work is to support practices and methodologies for researchers to follow the [FAIR principles](https://www.go-fair.org/fair-principles/), not just for publishing research data with rich metadata, but for ensuring computational methods can also be shared in a fully described and reproducible manner.
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The [research](/publications/) by the eScience Lab spans a wide array of topics, including FAIR and Open Research, computational workflows, scholarly communication, reproducible science, linked data, provenance, knowledge representation and
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community building. Lab members are leaders in international standards setting and community groups working on digital
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research infrastructure for science.
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The eScience Lab currently has guaranteed funding until 2028.
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## History
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index.md

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}
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</script>
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The [eScience Lab](/about/) research group is led by [Professor Carole Goble](http://www.manchester.ac.uk/research/Carole.goble/). The group is based at the [Department of Computer Science](http://www.cs.manchester.ac.uk/), [University of Manchester](http://www.manchester.ac.uk). It's affiliated with the wider [Information Management Group](http://www.cs.manchester.ac.uk/img/).
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The [eScience Lab](/about/) research group is led by [Carole Goble](https://research.manchester.ac.uk/en/persons/carole.goble) and [Stian Soiland-Reyes](https://research.manchester.ac.uk/en/persons/soiland-reyes). The group is based at the [Department of Computer Science](http://www.cs.manchester.ac.uk/), [University of Manchester](http://www.manchester.ac.uk). It's affiliated with the wider [Information Management Group](http://www.cs.manchester.ac.uk/img/).
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The [eScience Lab team](/people/) are focused on research and development around a set of tools designed for data driven and computational research. The tools support the coming together of people, data and methods in a particular research area; this is also known as an _e-laboratory_. These e-Laboratories or _e-Labs_ support domains as diverse as systems biology, social science, music, astronomy, multimedia and chemistry. The [tools](/products/) have been adopted by a large number of projects and institutions.
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The [eScience Lab team](/people/) are focused on the research and development of products and practices designed for data driven and computational research. The eScience [tools](/products/) and techniques support the coming together of people, data and methods, the sharing of the research objects of science and the automation of analysis and data pipelines using computational workflows.
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Our [research](/publications/) and [projects](/projects/) span a wide array of topics, including eScience, bioinformatics, biodiversity, scholarly communication, reproducible science, linked data, provenance, community building and knowledge representation.
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Our work can be called "Translational Computer Science" as we innovate solutions using state of the art knowledge
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approaches but also produce and run production services and resources for Digital Research Infrastructures, particularly
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those in the Biomedical Sciences and Biodiversity. Our tools and techniques have been adopted by a large number of
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[projects](/projects/) and institutions across Europe and internationally, as well as national organisations.
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Of particular focus in our work is to support practices and methodologies for researchers to follow the [FAIR principles](https://www.go-fair.org/fair-principles/), not just for publishing research data with rich metadata, but for ensuring computational methods can also be shared in a fully described and reproducible manner.
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The [research](/publications/) by the eScience Lab spans a wide array of topics, including FAIR and Open Research, computational workflows, scholarly communication, reproducible science, linked data, provenance, knowledge representation and
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community building. Lab members are leaders in international standards setting and community groups working on digital
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research infrastructure for science.

people.md

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role: Professor, group leader
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staff:
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- name: Rachael Ainsworth
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orcid: 0000-0003-2591-9462
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img: rachael-ainsworth.jpg
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role: Research Software Manager
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- name: Munazah Andrabi
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orcid: 0000-0002-7718-5109
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img: munazah-andrabi-sm.png
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- name: Stian Soiland-Reyes
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orcid: 0000-0001-9842-9718
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img: stian-soiland-reyes-sm.jpeg
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role: Technical Architect
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role: Senior Lecturer
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- name: Shoaib Sufi
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orcid: 0000-0001-6390-2616
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img: katy-wolstencroft-sm.jpg
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former:
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- name: Rachael Ainsworth
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orcid: 0000-0003-2591-9462
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img: rachael-ainsworth.jpg
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role: Research Software Manager
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- name: Sergejs Aleksejevs
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- name: Ebtisam Alharbi
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orcid: 0000-0002-3887-3857

publications/index.md

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Marjan Meurisse, Francisco Estupiñán-Romero, Javier González-Galindo, Natalia Martínez-Lizaga, Santiago Royo-Sierra, Simon Saldner, Lorenz Dolanski-Aghamanoukjan, Alexander Degelsegger-Marquez, Stian Soiland-Reyes, Nina Van Goethem, Enrique Bernal-Delgado, On Behalf of BeYond-COVID project contributors (2023):
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[**Federated causal inference based on real-world observational data sources: application to a SARS-CoV-2 vaccine effectiveness assessment**](https://s11.no/2023/phd/federated-causal-inference/).
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(Submitted)
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<https://research.manchester.ac.uk/en/publications/federated-causal-inference-based-on-real-world-observational-data>
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_BMC Medical Research Methodology_ **23**:248
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<https://doi.org/10.1186/s12874-023-02068-3>
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Ignacio Eguinoa, Marek Suchánek, Vojtěch Knaisl, Jan Slifka, Paul De Geest, David López, Bjorn Gruning, Simone Leo, Stian Soiland-Reyes (2023):
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[**BioHackEU22 Report: Enhancing Research Data Management in Galaxy and Data Stewardship Wizard by utilising RO-Crates**](https://s11.no/2023/phd/enhancing-rdm-galaxy-dsw/).

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