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Target audience
- Graduate students768
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- Institutions and other external Institutions or individuals486
- PhD students347
- Academics283
- Industry282
- PhD279
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- post-docs18
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- life scientists16
- Graduate 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
- mixed audience13
- 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
- PhD Students11
- 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
- Technicians10
- All postgraduates9
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- Bioinformaticians and wet-lab biologists who can program9
- Professors9
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- postdoctoral researchers8
- PhD candidates7
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- data stewards7
- Senior scientist/ Principal investigator6
- 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
- postdocs6
- 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
- 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
- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Clinicians4
- Molecular Biologists4
- Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research4
- Pathologists4
- Postdoctoral Researchers4
- Postgraduate students4
- 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
- data manager4
- 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
- <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
- Biologists and bioinformaticians who are dealing with high-throughput gene expression data or other high-throughput data and would like to learn state-of-the-art methods for mining and analysing such data.3
- Biomedical researchers3
- Clinical Scientists3
- Core Facility Managers3
- Evolutionary Biologists3
- Institutions and other external Institutions or individuals.3
- Masters students3
- Medical Device3
- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 3
- Postdoctoral researchers3
- 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 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
- Training Designers3
- Training instructors3
- beginner bioinformaticians3
- bioinformatics and other life scientists planning to work with next-generation sequencing data.3
- healthcare professionals3
- medical specialists3
- pathways and diseases.3
- project manager3
- registry curators3
- research software engineers and research data managers working with ELIXIR-supported tools and resources3
- software developers, bioinformaticians3
- students3
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