Tag Archives: data mining

Wanted: Analytical Computing Researcher

Another one from Lianda Payne at E-Resourcing Ltd. Please contact her with any enquiries.

Analytical Computing Researcher

A highly qualified individual to join a newly formed research team to build up our research on analytics applications .

Reporting to company’s Chief Innovation Officer, the qualified individual will research on data analyses methods and building proof-of-concept prototypes for company’s biological data analysis products. Support company’s scientific informatics business, you will focus on the build up analytics capacities within company’s data management and analysis product stack, especially in building analytical application for company’s cloud offering

The following qualifications are highly desirable:
-Msc/PhD in computer science, computational biology, Statistics or equivalent scientific discipline
-Be familiar with data mining technology-Ideally have experience with various omics data analysis in biomarker discovery field.
-Excellent analytical programming skills—excellent skill in bioinformatics/statistics, in building analytics applications
-Excellent people skills
-Excellent skill in Web2.0, cloud computing and internet programming

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November tech meet — RapidMiner tutorial

The next BioGeeks tech meet will be on November 25th 2010 at UCL, where Andrew Clegg will be running a workshop entitled:

RapidMiner — machine learning for the rest of us

RapidMiner is an easy-to-use and feature-packed desktop app for machine learning, data & text mining, statistical analysis and visualization.

It allows you to build workflows for your experiments, easily swap learning algorithms and evaluation methods in and out, and compare and visualize the results. It also supports parallel processing and interfaces with databases, R and Weka, all from an intuitive graphical workbench. It includes modules for dozens of different classification, clustering and regression methods, along with dozens more handy pre-and post-processing tools.

The tutorial will take you through building a learning pipeline, training and tuning models in it, applying them to new data and comparing the results, using some well-known biological data.

Andrew will also demonstrate some methods for transforming and processing your input data in ways that would take hours to script by hand.

Bring a laptop if you want to follow along or just come to watch.

N.B. If you do bring a laptop, please install RapidMiner 5 Community Edition first, in case there’s a problem getting wifi on the day.

Where: Biochemistry Lecture Theatre, Darwin Building (basement), University College London

Enter campus via Malet Place opposite Waterstones, then turn left between the Engineering and DMS Watson buildings in square C4 of this map.

When: 6pm, Thursday 25 November 2010

Followed by drinks from 7:30ish at a venue to be decided on the day (depending on numbers).

Download a poster for this event here (PDF, 125K)

November tech meet — RapidMiner tutorial

The next BioGeeks tech meet will be on November 25th 2010 at UCL, where Andrew Clegg will be running a workshop entitled:

RapidMiner — machine learning for the rest of us

RapidMiner is an easy-to-use and feature-packed desktop app for machine learning, data & text mining, statistical analysis and visualization.

It allows you to build workflows for your experiments, easily swap learning algorithms and evaluation methods in and out, and compare and visualize the results. It also supports parallel processing and interfaces with databases, R and Weka, all from an intuitive graphical workbench. It includes modules for dozens of different classification, clustering and regression methods, along with dozens more handy pre-and post-processing tools.

The tutorial will take you through building a learning pipeline, training and tuning models in it, applying them to new data and comparing the results, using some well-known biological data.

Andrew will also demonstrate some methods for transforming and processing your input data in ways that would take hours to script by hand.

Bring a laptop if you want to follow along or just come to watch.

N.B. If you do bring a laptop, please install RapidMiner 5 Community Edition first, in case there’s a problem getting wifi on the day.

Where: Biochemistry Lecture Theatre, Darwin Building (basement), University College London

Enter campus via Malet Place opposite Waterstones, then turn left between the Engineering and DMS Watson buildings in square C4 of this map.

When: 6pm, Thursday 25 November 2010

Followed by drinks from 7:30ish at a venue to be decided on the day (depending on numbers).

Download a poster for this event here (PDF, 125K)

Duplicate of this post because of URL mix-up, all comments there please.