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Bessant Lab

News and Resources from the Bessant Bioinformatics Lab at QMUL

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proteomics

PhD Opportunity in Bioinformatics/ Proteomics/ Epigenetics

We are seeking an outstanding individual, with proven experience in devising computational solutions to data-rich bioscience problems, to help us make a step change in understanding the role that retrotransposable elements play in disease. The project encompasses three areas of cutting edge research: bioinformatics, proteomics and epigenetics. For more details, including how to apply, please visit bit.ly/phd2016b.

All nationalities are eligible to apply for this studentship, which is due to begin in October 2016. The deadline for applications is Sunday 15 May.

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PhD Opportunity in Machine Learning for Proteomics

Queen Mary University of London is seeking applicants for a unique multidisciplinary studentship, straddling two topical research areas: proteomics and machine learning. The project would be well suited to an exceptional graduate from a physics, engineering, computer science or similar background who is interested in learning more about bioanalytical technologies, and proteomic mass spectrometry in particular.

The student will be supervised primarily by machine learning expert Dr Fabrizio Smeraldi in the School of Electronic Engineering and Computer Science, and will work closely with proteomics experts in the Bessant Lab at the School of Biological and Chemical Sciences.

All nationalities are eligible to apply for this studentship, which is due to begin in late summer 2016. The deadline for applications is Monday 4 April.

For more details, including how to apply, please visit bit.ly/phd2016a.

GIO published; gets targeted tools

Our customised version of Galaxy, GIO, with added support for proteomics and PIT (proteomics informed by trancriptomics) workflows recently made it into Molecular and Cellular Proteomics. We’ve subsequently added a bunch of tools for designing targeted proteomics experiments- head over to GIO to try them out and check out the associated workflow and tutorial.

PhD position available in cancer/proteomics/informatics

We are seeking an outstanding individual with proven experience in developing computational solutions for data-rich scientific problems, to help us make a step change in understanding the role that proteins play in disease.

Click here for details.

PhD and postdoc positions available

We will soon be placing adverts for one new funded PhD studentship (October start; EU citzens only) and one new postdoctoral research position. If you are interested in either opportunity, email Conrad.

Funded PhD studentship available

We have a fully funded studentship available, for October 2013 start. The project is in the area of proteome informatics, and will link in with other activities going on in the lab and further afield. For more information, check out the link below.

PhD details on FindAPhD

Update: This position is now filled.

mzQuantML data standard published

The mzQuantML standard format for representing the results of quantitative proteomics experiments has been published in Molecular and Cellular Proteomics. This HUPO-PSI initiative should make it easier to exchange quantitative proteomics data between groups, between software, and should ultimately increase the quantity of publicly available quantitative proteomics data.

We contributed to this effort by testing and refining the standard as we built support for it into our x-Tracker tool, and are participating in the development of the mzq-lib library of software designed to simplify mzQuantML uptake in the field.

mzQuantML paper at MCP

A detailed insight into mzQuantML

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