Marie Curie PhD studentship in STATISTiCS for Bioanalytical Science



DESCRIPTION:

The Fellowship will involve developing statistical approaches for integrative theoretical and experimental analytical science, with application to bacterial cell division and quality by design methodologies. Sophisticated statistical analyses (e.g. McMC, Bayesian inference and artificial neural networks) applied to complex datasets will enable complementary data from different analytical techniques (e.g. circular dichroism (CD), NIR spectroscopy and MCD) to be combined to give a more complete view of a product. The central aim of the project will be to develop an approach which naturally quantifies uncertainty in parameter estimation, makes full use of all available information and can be rapidly applied to experimental data as it emerges.

TRAINING PROGRAMME:

The work will be carried out as part of a European Marie Curie Initial Training Network that involves regular meetings and timely delivery of results. The student will visit and collaborate with both an academic and an industrial partner by means of 3-month visiting researcher placements, and will participate in planned training events and workshops covering topics such as team working and leadership, business, intellectual property, industrial biotechnology, and science communication.

EQUAL OPPORTUNITIES:

The University of Warwick is committed to the principles of the Athena Scientific Women’s Academic Network and the HR Research in Excellence agenda.

Awards available: 

1 award available

Funding Details:

Gross pay 62,000 euro per year (includes mobility allowance; paid in pounds sterling, subject to UK tax deductions)

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Length of Award:

Funding is available for 3 years (PhD)

Eligibility: 

Applicants are expected to have a BSc or an MSc in statistics, mathematics, physical chemistry, mathematical biology or equivalent subject and must have less than 4 years’ research experience.

Application Details: Go to the Apply link below, select the MOAC Doctoral Training Centre PhD programme F1P7 and state “CAS-IDP” under the heading “funding”.

For further information, please contact either [email protected] or [email protected]

START DATE: 1st September 2013

Deadline: 20 May 2013

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