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Vacancy: Research engineer for the rapid development tool for job submissions project

Job title: 
RE

You will work in a small team dedicated to the RAPID project, which aims to provide a rapid development tool for job submissions. The team is part of a larger research group at the National e-Science Centre that aims to harness the power of distributed data and computing in collaborative environments through ubiquitous computing. You will take an important role in the design and implementation of the tool, as well as interacting with future users of the end products of the system.

Expiry date: 
Fri, 09/14/2007
Job reference: 
3007838

The e-Science Institute Public Lecture - "Building a better (fly) brain"

Speaker: 
Douglas Armstrong

Mental Health accounts for 11% of global disease burden, it is growing rapidly yet it is one of the most challenging areas for drug discovery and development. Realistic models that capture the processes (and disorders) of the human brain would provide new insights into the diagnosis and treatment of such disorders. However, to achieve this, we need to begin by working from much simpler, more tractable models. The brain of the fruit-fly Drosophila contains in the region of 100,000 neurons.

Date and time: 
Friday, 2 November, 2007 - 16:00
Length: 
60 minutes
Location: 
Newhaven

Open Grid Services Architecture Data Access and Integration

The huge increase in the volume of data produced in research and business environments in the last decade has been likened to a "data explosion". Not only is this data volumes on a massive scale, it is also heterogeneous and dynamic and in many cases needs to be shared across both organisational and geographical boundaries. Accordingly, data management is increasingly challenging to both research and business organisations alike.

Acronym: 
OGSA-DAI
Value: 
£1.9m
Dates: 
Tue, 11/01/2005 to Tue, 03/31/2009
Projects: 

Scottish Imaging Network: A Platform for Scientific Excellence

Acronym: 
SINAPSE
Funding body: 
Scottish Funding Council
Value: 
£40m
Dates: 
Sun, 07/01/2007 to Sun, 06/30/2013
Projects: 

e-Science Data Information & Knowledge Transformation

edikt produces new knowledge by using computational science to extract information from vast datasets, and generate models through simulation. Researchers at the University of Edinburgh can get access to a range of computational resources.

Acronym: 
EDIKT2
Funding body: 
Scottish Funding Council
Dates: 
Thu, 06/01/2006 to Mon, 05/31/2010
Project members: 
Projects: 

Painting with Genes

Speaker: 
Jano van Hemert

The Edinburgh Mouse Atlas aims to capture in-situ gene expression patterns. In this study we construct a grammar to to define spatial regions by combinations of multiple patterns. These combinations are formed by using operators on curated gene expression patterns, which resemble gene interactions in a spatial context. The space of combinations is searched using an evolutionary algorithm with the objective of defining a target pattern.

Date and time: 
Wednesday, 22 August, 2007 - 11:00
Length: 
45 minutes
Location: 
Cramond

Building Gene Homologue Web Services

Speaker: 
Ian Archibald

There are many data resources relating to human and mouse genetics which can be integrated for the matching of specific genes. These resources however are present within various organizations at different locations. Compatibility between these datasets often requires conversions with respect to the gene ID systems in use. To make services such as inter-species homology available to bio-informaticians various methods involving matching genes and converting between different ID formats need to be created.

Date and time: 
Tuesday, 4 September, 2007 - 16:00
Length: 
60 minutes
Location: 
Newhaven

Wrapping Tools to Automate Workflows for Gene Expression Analyses in Cystic Fibrosis

NeSC Research Seminar Series
Speaker: 
Rob Kitchen

Currently, the analysis of gene expression data generated by microarray and real-time PCR experiments is a slow process, often taking several weeks to properly process data from a small number of patients. In anticipation of a new clinical trial expected to involve 200 patients it is necessary to improve the efficiency of these analyses, through automation, in order to return meaningful biological data on a much shorter time scale.

Date and time: 
Tuesday, 4 September, 2007 - 14:00
Length: 
60 minutes
Location: 
Newhaven
Projects: 

Grid enabling a bioinformatics application: understanding the function of non-coding RNA genes

The Computational Genomics Laboratory is part of the Human Genetics Unit, the largest unit of the UK's Medical Research Council. Its focus lies on computational genomics and molecular evolution. The team develops and applies modelling techniques to large quantities of experiment data in order to answer biomedical questions on the level of gene regulatory networks. These techniques require massive computation as they involve calculating enormous amounts of interactions between genes.

Acronym: 
Co-EEGEE
Value: 
£60k
Dates: 
Wed, 08/01/2007 to Mon, 12/31/2007
Project members: 

A Hybrid Approach To Web Service Orchestration

Speaker: 
Adam Barker

Currently most workflow research has focused on designing and implementing service orchestrations, where all message exchange takes place through a centralised server. This is a valid solution for scenarios found in e-Commerce where relatively small quantities of intermediate data are involved, but makes less sense when dealing with large quantities of intermediate data as are commonly found in the sciences.

Date and time: 
Wednesday, 29 August, 2007 - 11:00
Length: 
45 minutes
Location: 
Leith

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