Tag Archives: KCL
For anyone interested in data analytics, the BRC-MH at KCL and the Maudsley are organising a symposium on Big Data in Mental Health on July 23rd at ORTUS, Denmark Hill.
Talks will include Maneesh Juneja, Chris Hollis from MindTech, Will Spooner from Eagle Genomics and speakers from the University of Oxford, KCL and the SLaM.
More details available on the website: http://core.brc.iop.kcl.ac.uk/events/big-data-in-mental-health/
Registration on Eventbrite: https://www.eventbrite.co.uk/e/big-data-in-mental-health-biomedical-research-tickets-11667875931
Bioinformatics / Clinical Informatics PhD Topics at the Institute of Psychiatry, King’s College London. Closing date for applications is 12/12/12
Contact firstname.lastname@example.org for further details / application pack and see this website for more details of each project
- Epigenetics and gene expression in Alzheimer’s
- Investigating Unreported Adverse Effects of Psychiatric Drugs through Data-Mining of Electronic Health Records and Integration of Clinical and Genomic Data
- Drug repositioning: the application of old drugs to new diseases/targets
- Text mining and machine learning to identify temporal patterns in co-morbidity networks derived from clinical data
- Integrative translational ‘omics with a special focus on mental health : bioinformatics analyses for large scale omic data integration, biomarker discovery, drug repositioning and screening for new therapeutic targets
- A Multi-agent paradigm for Integrating Cellular Networks
- Applying machine learning methods to develop predictive models of treatment success for patients with chronic fatigue syndrome
- Biomarkers of pre-clinical Alzheimer’s disease
The Biomedical Research Centre at Guy’s and St. Thomas’s are looking for an experienced Linux Systems Administrator. Candidates should have prior experience in high-performance computing maintenance & administration. The role will involve responsibility for backup and archiving, development of software to meet the academic needs of system users, support and administration of a large number of bioinformatics tools, particularly in the next-generation sequencing field.
See the Job Advert for more details
4 exciting new bioinformatician posts at the NIHR BRC for Mental Health, Kings College London
A collaboration with UCSF:
Postdoctoral research covering maternity leave in the first instance:
2 developer roles:
The Institute of Psychiatry at King’s College London is looking for a Linux systems administrator / data manager to support acquisition and analysis of neuroimaging data: http://www.jobs.ac.uk/job/AEI988/systems-and-data-administrator/
This month’s tech meet, organised in association with the KCL Bioinformatics Interest Group (BIG) and the Biomedical Research Centre for Mental Health (BRC-MH), will be at King’s College London, Guy’s Campus (London Bridge) in the Large Committee Room of the Hodgkin Building from 6pm on Thursday 23rd June.
We’ll have some tables booked at The Miller afterwards for more biogeeky chat and beers.
We only have space for 35 people to participate in the WGCNA talk / workshop, and we expect it to be a popular event, so please email email@example.com if you want to be sure of a space.
If you can’t make it to the workshop, feel free to come along to the pub afterwards. We’ll be there from around 7.30.
Steve is a Professor in Human Genetics and Biostatistics and his group develops biostatistical, computational, and systems biologic methods for studying complex phenotypes. Recent research has focused on the development and application of systems biologic and systems genetic methods for addressing biological, genetic and clinical questions. He’ll be giving us an overview of Weighted Gene Co-Expression Network Analysis (WGCNA).
Weighted gene co-expression network analysis (WGCNA) facilitates a systems biologic view of gene expression data. The network framework makes it straightforward to integrate gene expression data with other types of data, e.g. clinical traits and genetic marker data. This talk covers several theoretical topics including network construction, module definition, network based gene screening, and differential network analysis. The methods are illustrated using several applications including i) screening for cancer genes, ii) comparing human and chimp brains, and iii) complex disease gene mapping. Related articles and material can be found at the following webpage http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/