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Topics - tebbels

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Conferences and seminars / RSC Faraday Discussion: Challenges in Analysis of Complex Natural Mixtures
Please join us at the upcoming Royal Society of Chemistry Faraday Discussion:

Challenges in the Analysis of Complex Natural Mixtures
Edinburgh, 13-15 May 2019
Oral abstract deadline: 27 July 2018

Most naturally occurring systems can be characterised as complex mixtures, such as biofluids, food or soil.  Determination of their chemical composition is a highly challenging and is a key bottleneck in metabolomics. The techniques best positioned to tackle such mixtures experimentally include mass spectrometry, chromatography, NMR spectroscopy, or new alternative techniques, including combinations of the above methods. For the most part, people who work on the analysis of complex mixtures are driving the progress in exploiting new methodologies and their creative combinations. This Faraday Discussion will focus on four themes:
  • Dealing with Complexity
  • High-resolution Techniques
  • Data Mining and Visualisation
  • Future Challenges and New Approaches

Faraday Discussions have a special format where research papers written by the speakers are distributed to all participants before the meeting, and most of the meeting is devoted to discussing the papers. Please see the website for further information:
http://www.rsc.org/events/detail/29574/challenges-in-analysis-of-complex-natural-mixtures-faraday-discussion
2
Job opportunities / Post doc in metabolite identification
Post Doctoral Research Associate (Structural Elucidation)
Imperial College London
Salary £36,070 – £43,350 per annum 

Applications are invited for an experienced chemist to support efforts in the identification of unknown metabolites (structure elucidation) from large scale metabolic epidemiology datasets.

The post holder will conduct de novo structure elucidation of unknown small molecules using Nuclear Magnetic Resonance (NMR) Spectroscopy, Mass Spectrometry (MS), and computational resources to interrogate the chemical structure of unknown compounds. With input from other members of the team, they will collate sufficient evidence to conclusively confirm metabolite structure, and implement new strategies to address chemical assignment problems. The primary source of unknowns will be a recently funded project examining the metabolic links between coronary artery disease and genetic variants.
 
The successful candidate should have a PhD or equivalent in Chemistry or related field, proven experience in the isolation and structure elucidation of metabolites using mass spectrometry, NMR, and other analytical methodologies and experience and knowledge of metabolic biotransformations and identification of metabolites. Experience in the preparation of scientific reports that document analytical results, and interpretation for the identification of biochemicals are desirable.
 
This full time position is offered for a fixed-term until 30 June 2018, and will be based primarily at the South Kensington campus with travel to the Hammersmith Hospital campus in White City when required.
 
For further information please contact Dr Tim Ebbels (t.ebbels@imperial.ac.uk) or visit the following link:
https://www4.ad.ic.ac.uk/OA_HTML/OA.jsp?page=/oracle/apps/irc/candidateSelfService/webui/VisVacDispPG&akRegionApplicationId=821&transactionid=1612084720&retainAM=Y&addBreadCrumb=S&p_svid=51247&p_spid=1825416&oapc=7&oas=dH-jupdNwYTKrsU6rO2GcA
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Job opportunities / Research Associate in Chemometrics
Applications are invited for an experienced data analyst to work on processing and modelling metabolomic data. The post holder will join an existing collaboration, encompassing teams of data scientists, software engineers, epidemiologists, chemists and clinicians, tackling the problems of big data in metabolomics. The post will focus on developing statistical and machine learning models to integrate data from Nuclear Magnetic Resonance (NMR) spectroscopy and Mass Spectrometry, as well as electronic infrastructures to support the statistical modelling.
The successful candidate will have a PhD in chemometrics, bioinformatics, biostatistics or similar area and will have strong coding skills in MATLAB or other scientific programming environment.

This full time position is offered for a fixed-term until 31 August 2017, and will be based at the South Kensington Campus in London.
For further information please contact Dr Tim Ebbels (t.ebbels@imperial.ac.uk).

Further details here.
4
Imperial International Phenome Training Centre / Hands-on LC-MS for Metabolic Phenotyping
Hands-on LC-MS for Metabolic Phenotyping
Date: 13 – 17 March 2017
Location: Imperial College London, South Kensington, London, UK
Description: This week long course aims to cover how to perform a metabolic profiling experiment, from start to finish. It covers study design, sample preparation, the use of mass spectrometry for global profiling and targeted methodologies and data analysis. It combines lectures and tutorial sessions to ensure a thorough understanding of the theory and practical applications. Topics covered include:
  • Targeted and untargeted sample preparation
  • Targeted and untargeted data analysis
  • Statistics and OPLS
Visit http://www.imperial.ac.uk/imperial-international-phenome-training-centre/courses/hands-on-lc-ms-for-metabolic-profiling/ or contact Dr Liz Want (iptc@imperial.ac.uk) for further information.
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Imperial International Phenome Training Centre / Hands-on Data Analysis for Metabolic Profiling - 22-25 November 2016
Hands on Data Analysis for Metabolic Profiling
Venue: Imperial College London, South Kensington, London, UK

Early bird: £900
Standard: £1100

This 4 day course provides a comprehensive overview of data analysis for metabolic profiling studies with data acquired from NMR spectroscopy and Liquid Chromatography-Mass Spectrometry. It combines lectures and tutorial sessions to ensure a thorough understanding of the theory and practical applications.

Day 1: Introductory lectures and tutorials regarding the pre-processing of data acquired via NMR and LC-MS.

Day 2: Lectures and tutorials introducing exploratory chemometrics approaches, including PCA.

Day 3: Lectures and tutorials covering advanced chemometrics techniques including PLS and Orthogonal PLS.

Day 4: The next step - computational tools to aid metabolite identification and pathway analysis.

http://www.imperial.ac.uk/imperial-international-phenome-training-centre/courses/hands-on-data-analysis-for-metabolic-profiling/ or contact Dr Liz Want (iptc@imperial.ac.uk) for further information.