- Home
- Events
Filter
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Content provider
- University of Cambridge Bioinformatics Training75
- Show N_FILTERS more
-
-
-
Keyword
- HDRUK75
- Show N_FILTERS more
-
-
-
Scientific topic
- Data mining
- Bioinformatics799
- Genome annotation238
- Exomes235
- Genomes235
- Genomics235
- Personal genomics235
- Synthetic genomics235
- Viral genomics235
- Whole genomes235
- Biological modelling231
- Biological system modelling231
- Systems biology231
- Systems modelling231
- Biomedical research194
- Clinical medicine194
- Experimental medicine194
- General medicine194
- Internal medicine194
- Medicine194
- Bottom-up proteomics138
- Discovery proteomics138
- MS-based targeted proteomics138
- MS-based untargeted proteomics138
- Metaproteomics138
- Peptide identification138
- Protein and peptide identification138
- Proteomics138
- Quantitative proteomics138
- Targeted proteomics138
- Top-down proteomics138
- Data visualisation116
- Data rendering109
- Aerobiology82
- Behavioural biology82
- Biological rhythms82
- Biological science82
- Biology82
- Chronobiology82
- Cryobiology82
- Reproductive biology82
- Pattern recognition75
- Comparative transcriptomics62
- Transcriptome62
- Transcriptomics62
- Computational pharmacology60
- Pharmacoinformatics60
- Pharmacology60
- Exometabolomics56
- LC-MS-based metabolomics56
- MS-based metabolomics56
- MS-based targeted metabolomics56
- MS-based untargeted metabolomics56
- Mass spectrometry-based metabolomics56
- Metabolites56
- Metabolome56
- Metabolomics56
- Metabonomics56
- NMR-based metabolomics56
- Immunology49
- Functional genomics43
- Data management34
- Metadata management34
- Research data management (RDM)34
- Active learning31
- Ensembl learning31
- Kernel methods31
- Knowledge representation31
- Machine learning31
- Neural networks31
- Recommender system31
- Reinforcement learning31
- Supervised learning31
- Unsupervised learning31
- Biomathematics29
- Computational biology29
- Disease29
- Epigenomics29
- Mathematical biology29
- Pathology29
- Theoretical biology29
- Protein bioinformatics27
- Protein databases27
- Protein informatics27
- Proteins27
- Metagenomics25
- Shotgun metagenomics25
- Protein structure24
- Bioimaging21
- Biological imaging21
- Cloud computing20
- Computer science20
- HPC20
- High performance computing20
- High-performance computing20
- Antimicrobial stewardship19
- Electrophysiology19
- Medical microbiology19
- Microbial genetics19
- Microbial physiology19
- Show N_FILTERS more
-
-
-
Event type
- Workshops and courses75
- Show N_FILTERS more
-
-
-
Country
- United Kingdom75
- Show N_FILTERS more
-
-
-
Target audience
- Institutions and other external Institutions or individuals75
- Postdocs and Staff members from the University of Cambridge75
- Graduate students74
- 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
- Researchers who are applying or planning to apply image analysis in their research4
- Researchers who want to extract quantitative information from microscopy images4
- This introductory course is aimed at biologists with little or no experience in machine learning.3
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics2
- but who have not perhaps put this into practice since.2
- <span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Members of Industry to pay 575.00 GBP. </span style> <span style="color:#0000FF">All Members of the University of Cambridge1
- Affiliated Institutions and other academic participants from External Institutions and Charitable Organizations to pay 250.00 GBP. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style>1
- BioImage Analysts with some experience of basic microscopy image analysis1
- Biophysicists1
- Cell Biologists1
- The course is aimed at biologists interested in microbiology1
- The course is open to Graduate students1
- The handson component is aimed at novice to intermediate users who are seeking detailed guidance with GATK and related tools.1
- The lecture based component of the workshop is aimed at a mixed audience of people who are new to the topic of variant discovery or to GATK1
- This course is appropriate for researchers who are relatively proficient with computers but maybe not had the time or resources available to become programmers.1
- This course may be of interest to physical scientists looking to develop their knowledge of Python coding in the context of bioimage analysis1
- analysis of complex microbiomes and antimicrobial resistance.1
- or who are already GATK users seeking to improve their understanding of and proficiency with the tools.1
- prokaryotic genomics1
- seeking an introductory course into the tools1
- Show N_FILTERS more
-
-
-
Eligibility
- First come first served8
- Show N_FILTERS more
-
- Only show online events
- Hide past events
- Show disabled events