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- NEOF Training35
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Keyword
- Open Science33
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Scientific topic
- Bioinformatics10
- Exometabolomics6
- LC-MS-based metabolomics6
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Venue
- United Kingdom13
- Birmingham Metabolomics Training Centre9
- School of Biosciences - University of Birmingham9
- Earlham Institute (EI), Colney Lane7
- Online5
- Earlham Institute (EI), Colney Lane4
- University of Cambridge, Trinity Ln4
- Earlham Institute3
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- 126 Mount Pleasant, 126, Mount Pleasant1
- Biosciences Building, Crown Street1
- Computational and Data Driven Science1
- DHEZ / Phoenix SW building, Off Shearbridge Road1
- Full location will be shared with invited participants. There will also be an opportunity to tour the NEOF Visitor Facility labs and hear about how they can be accessed for your research.1
- Health Data Research UK1
- Humboldt Universität zu Berlin - Berlin Adlershof Erwin Schrödinger-Zentrum Adlershof Rudower Chaussee 26 12489 Berlin [Site Plan](https://www.bauten.hu-berlin.de/de/esz/lage/esz_2017.pdf)1
- L69 7ZX1
- Leuven1
- MSTC, Sherrington Building, University of Liverpool1
- Mövenpick Hotel Amsterdam City Centre, 11, Piet Heinkade1
- Norcroft Centre, University of Bradford, Richmond Road1
- Ospedale Policlinico San Martino, 10, Largo Rosanna Benzi1
- Postdoc Centre, 16, Mill Lane1
- Richmond Building (RICH/WB19), University of Bradford, Richmond Road1
- Rothamsted Research1
- Seminar Room Institute of Applied Biosciences (INAB) Centre for Research & Technology - Hellas (CERTH) 6th km Charilaou - Thermis rd1
- Sherrington Building, Ashton Street, University of Liverpool1
- Small Lecture Theatre, MSI-WTB, School of Life Sciences, University of Dundee,1
- The Alan Turing Institute, 96, Euston Road1
- University Place, University of Manchester1
- University of Dundee, Nethergate1
- University of Manchester1
- University of Milano-Bicocca, Piazza dell'Ateneo Nuovo1
- University of Nottingham1
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- online1
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Sponsor
- NERC28
- This course is funded as part of the UKRI Innovation Scholars. Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1)5
- ELIXIR2
- ELIXIR-UK2
- SSI1
- AIBIO1
- BioExcel1
- ELIXIR Training Platform1
- One Nucleus1
- Repositive1
- Software Sustainability Institute1
- UKRI1
- University of Dundee1
- University of Dundee PhD Program1
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Target audience
- PhD students10
- Researchers8
- post-docs5
- Bioinformaticians3
- Undergraduate students3
- bioinformaticians3
- Industry professionals, and people with a keen interest in the subject.2
- PhD Students2
- Academics1
- Anyone interested in learning about metabolomics1
- Beginners1
- Bench biologists1
- Bioscientists1
- Cloud users1
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- Galaxy users1
- Graduate Students1
- HPC users1
- Intermediate1
- Life Science Researcher1
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- Master students1
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- Members of ELIXIR-UK consortium member institutions working on ELIXIR-related projects 1
- PI1
- PhD candidates1
- Post-Docs1
- Postgraduate Students1
- Scientists1
- Senior Managers1
- Students1
- This course is designed for scientists with some to little or no teaching experience1
- This course is intended for master and PhD students, post-docs and staff scientists familiar with different omics data technologies who are interested in applying machine learning to analyse these data. No prior knowledge of Machine Learning concepts and methods is expected nor required1
- UK bioinformaticians1
- United kingdom1
- Wet-lab Researchers1
- biologists and early career researchers1
- data curators1
- data scientists1
- pan-genome users1
- postdoctoral researchers1
- postgrad1
- principle investigators1
- researchers1
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- software engineers1
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Language
- English64
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