Events - TeSS Sandbox (Training eSupport System)

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- Active learning48
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- Data handling24
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- Data brokering11
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- Allele calling4
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- Data formatting3
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- Alternative splicing analysis1
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- Data Stewardship Wizard7
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- BIOLOGICAL SCIENCES2
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- European Bioinformatics Institute (EMBL-EBI)134
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- Amsterdam, Netherlands19
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- University of Illinois18
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- 187 Grattan St, 187, Grattan Street13
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- Leiden, Netherlands13
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- The Diamond, Workroom 110
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- ONLINE8
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- Pam Liversidge Design Studio 1 - D067
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- Bartolome House, Seminar Room EG036
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- LAB-146
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- Sponsor
- de.NBI20
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- Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg2
- Pan-Africa network for genomic surveillance of poverty related diseases and emerging pathogens2
- Pan-African Consortium for the Evaluation of Antituberculosis Antibiotics2
- Pôle National de Données de Biodiversité2
- South African National Bioinformatics Institute, University of the Western Cape2
- Swiss Tropical and Public Health Institute2
- The European & Developing Countries Clinical Trials Partnership2
- The European Union2
- The Foundation for Innovative New Diagnostics2
- Twist Bioscience2
- Università Vita-Salute San Raffaele2
- nanocommons2
- Alvéole1
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- To see all our sponsors please visit www.vibconferences.be1
- UALG1
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- Westbuirg1
- Westburg1
- Zeiss1
- the Committee on Data of the International Council for Science1
- AWS1
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- Amazon Web Services1
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- Austrian Science Fund grant W012131
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- Center for Experimental and Clinical Imaging Technologies Zurich (EXCITE Zurich)1
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- Target audience
- Graduate students765
- Postdocs and Staff members from the University of Cambridge489
- Institutions and other external Institutions or individuals486
- PhD students346
- Academics288
- Industry288
- PhD280
- Plant research174
- Researchers74
- Biologists34
- Life Science Researchers32
- bioinformaticians32
- life scientists17
- post-docs16
- mixed audience15
- Master students14
- PhD Students13
- This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.13
- Graduate Students12
- as well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying.12
- Existing R users who are not familiar with dplyr and ggplot211
- This course is included as part of several DTP and MPhil programmes11
- Those with programming experience in other languages that want to know what R can offer them11
- Biologists, Genomicists, Computer Scientists10
- Professors10
- All postgraduates9
- Bioinformaticians and wet-lab biologists who can program9
- PhD candidates9
- Wet-lab researchers and bioinformaticians 9
- Bioinformaticians8
- Undergraduate students8
- data stewards8
- postdoctoral researchers8
- PhD candidate7
- Researchers who are applying or planning to apply image analysis in their research7
- Technicians7
- data steward / data manager7
- Postgraduate students6
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics6
- but who have not perhaps put this into practice since.6
- data managers6
- Clinicians5
- It may be particularly useful for those who have attended other Facility Courses and now need to process their data on a Linux server. It will also benefit those who find themselves using their personal computers to run computationally demanding analysis/simulations and would like to learn how to adapt these to run on a HPC.5
- Life sciences5
- Post Docs5
- Postdoctoral Researchers5
- Postdoctoral researchers5
- Senior scientist/ Principal investigator5
- The course is open to Graduate students5
- This course is aimed at students and researchers of any background.5
- Trainers5
- We assume no prior knowledge of what a HPC is or how to use it.5
- postdocs5
- software developers, bioinformaticians5
- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R. 4
- Biomedical researchers4
- Molecular Biologists4
- Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research4
- Pathologists4
- Research presentation4
- Researchers who want to extract quantitative information from microscopy images4
- This course is aimed at researchers with an interest in metabolomics and its applications4
- This workshop is aimed at researchers interested in proteins4
- This workshop is aimed at researchers who need to undertake sequence searching as part of their work4
- Wet-lab Researchers4
- beginner bioinformaticians4
- database managers4
- network analysis4
- or who need to search against several biological datasets to gain knowledge of a gene/gene set4
- protein-protein interactions and related areas4
- reproducible research4
- health professionals3
- <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">.3
- Anyone who wants to become a teacher / trainer or a better one3
- Beginner3
- Bench biologists3
- Bioinformaticians and wet-lab biologists who can program in Python or R. 3
- Computational biologists3
- Core Facility Managers3
- Developers3
- Early Career Researcher3
- Evolutionary Biologists3
- Institutions and other external Institutions or individuals.3
- Intermediate3
- Masters students3
- Post-Docs3
- Scientists3
- Students and researchers from life-sciences or biomedical backgrounds3
- The course is aimed at <b>bench biologists and bioinformaticians</b> who need to analyse their own data against large biological datasets3
- The module is suitable for researchers interested in gene expression analysis and visualisation3
- The workshop is aimed to biologists or computer scientists with little or no previous knowledge of Cytoscape3
- This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies in cancer research and wish to familiarise themselves with bioinformatics tools and data analysis methodologies specific to cancer data. Familiarity with the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor (basic understanding of the R syntax and ability to manipulate R objects) and the Unix/Linux operating system. 3
- This introductory course is aimed at biologists with little or no experience in machine learning.3
- This workshop is aimed at researchers who are either generating or integrating molecular interaction data in their research. This could be protein-protein interaction as well as protein-RNA3
- This workshop is aimed at students on the Rare Diseases and Experimental Medicine MPhil courses at the University of Cambridge. Students from the wider clinical sciences group are also able to attend subject to space being available.3
- This workshop is aimed at wet-lab scientists and bioinformaticians. Participants should have degree-level understanding of molecular biology/genetics and be proficient at using web browsers. 3
- Training Designers3
- Training instructors3
- basic research3
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- First come first served178
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- English5
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- EMBL-EBI1531
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- Single-cell Omics Community - collection of courses and materials4
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