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PhD Scholarships

PhD Studentship: Profitable and sustainable nutrition of dairy cattle

Reference
SCI1762
Closing Date
Thursday, 30th November 2017
Department
Animal Sciences

Dairy cows are highly efficient at converting feeds that are unsuitable for human consumption (e.g. grass, forage and by-products of the food industry) into nutritious products (e.g. milk, cheese and yoghurt). The nature of their diets, however, means that dairy cattle impact the environment through emissions of nitrogen and methane. The main drivers of these emissions are feed intake and diet composition, which are also the main drivers of milk yield and milk components. Feed costs are more than 70% of the cost of milk production, so improvements in nutrition are associated with increased profits and reduced environmental impact.

This aim of this studentship is to investigate dietary, animal and management factors that control nutrient intake and animal responses. The objective is to use knowledge of these factors to identify optimum nutritional strategies for profitable and sustainable milk production under a range of scenarios. These scenarios might encompass different feeding systems (e.g. grass-based, TMR-fed), calving patterns (e.g. block-calving, AYR calving) and markets (e.g. liquid milk, manufacturing). The project involves a combination of controlled trials, surveys, on-farm measurements and modelling.

This studentship is funded by the University of Nottingham and will run alongside a project on Feed Efficiency funded by AHDB Dairy under the Nottingham research partnership.

The student will benefit from involvement in a team of researchers (including PhD students, postdocs, technicians and academics) all working in complementary areas towards the common objective of improving efficiency of dairy farming.

Supervisor: Prof Phil Garnsworthy

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Secondary Supervisor: Dr Jean Margerison

Keyword Search
Dairy, animal science, animal nutrition, agriculture

Award Start Date: 01/01/2018

Duration of Award: 36 months

Terms and Conditions

Must be UK national
Driving licence and own transport highly desirable

Applicant Qualification Requirements

BSc with upper second class honours in Animal Science, Agriculture, or equivalent subject

How to Apply

By email to [email protected] including a CV

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PhD Scholarships

PhD positions at The University of Warwick : Biological Sciences/Synthetic biology (# of pos: 4)

Our group is offering PhD positions for 2018-2019 academic year.  These studentships are hosted by The University of Warwick Doctoral Training Centres 

 Details below

1) PhD project title: Engineering microbial chemical factories to produce renewable and modified biomaterials. 

PhD is hosted via MIBT Partnership

Research Area  : Synthetic biology, Organocatalysis, Structural biology and enzymology

Link :-  https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/molecularandmetabolicengineering2018/biomaterials

2) PhD project title: Development of novel halogenase enzymes for biopharmaceutical applications.

PhD is hosted via MIBT Partnership

Research Area : Synthetic biology, Organocatalysis, Structural biology and enzymology

Link :- https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/molecularandmetabolicengineering2018/applications

3) PhD project title: Expanding the genetic lexicon: Developing novel tools for non-natural amino acid incorporation in to therapeutic peptides and proteins.

PhD is hosted via SynBIO DTC 

Research Area : Synthetic biology, Organocatalysis, Structural biology and enzymology

Link :- https://www2.warwick.ac.uk/fac/sci/lifesci/study/pgr/studentships/synbiocdt

4) PhD project title:  Bioplastics from E. coli

PhD is hosted via SynBIO DTC

Research Area : Synthetic biology, Organocatalysis, Structural biology and enzymology

Link :- https://www2.warwick.ac.uk/fac/sci/lifesci/study/pgr/studentships/synbiocdt

Applications are encouraged from UK, EU and International students.

Please be aware that International (non EU) applicants are not eligible for EPSRC/BBSRC funded studentships.

To be eligible for a full EPSRC/BBSRC award (Tuition fees and Stipend) a student must have:

  • Settled status in the UK, meaning they have no restrictions on how long then can stay and
  • Been ‘ordinarily resident’ in the UK for 3 years prior to the start of the studentship. This means they must have been normally residing in the UK (apart from temporary or occasional absences) and
  • Not been residing in the UK wholly or mainly for the purpose of full-time education. (This does not apply to UK or EU nationals).
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To be eligible for an EPSRC/BBSRC tuition fees only award:

  • Students from EU countries other than the UK are generally eligible for a fees-only award. To be eligible for a fees-only award, a student must be ordinarily resident in a member state of the EU, in the same way as UK students must be ordinarily resident in the UK.

Interested students with research experience and qualification please contact us directly. 

https://warwick.ac.uk/fac/sci/lifesci/people/bmenon/

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France Scholarships

PhD position in quantum optimal control theory at the University of Bourgogne

This PhD project aims at applying innovative mathematical tools coming

from optimal control theory to improve theoretical and experimental techniques

in Nuclear Magnetic Resonance (NMR), in Electron Spin Resonance (ESR) and in NV

centers. This approach will allow us to explore and to experimentally reach the

physical limits of the corresponding spin dynamics in presence of typical

experimental imperfections and limitations. A first objective will be to

develop new optimal control algorithms able for an inhomogeneous ensemble of

spins to maximize the signal to noise ratio per unit time of the system. A

general problem is to generalize the Ernst angle solution used in NMR, which is

only valid for a homogeneous spin ensemble. This work will be done in

collaboration with the group of S. Glaser (TUM, Munich, Germany). This approach

will find different applications in NMR and ESR where the sensitivity of the

experiment is a crucial parameter. The student will focus on a specific

experimental setup in ESR used by the group of P. Bertet (CEA, Paris Saclay),

where an important goal is the maximization of the emitted signal of spins

coupled to a microwave resonator. The student will take into account in the

numerical computation specific constraints of this experimental setup. In the

same direction, the student will also use optimal control techniques to design

new CMPG sequences accounting for the coupling between the spins and the

cavity. The same types of control techniques will also be used for manipulating

NV ensembles in collaboration with the group of T. Debuisschert (Thalès,

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Paris). This will allow the improvement of the sensitivity of the corresponding

experiments. For a more fundamental point of view, the ESR will investigate the

numerical techniques used to design robust control fields with respect to

experimental imperfections. A first objective will be to understand the

efficiency of these methods and to prove the optimality (this concept will be

to define rigorously) of the control fields. The ESR will mainly study spin

systems but it is clear that the results of this project will not be restricted

to the physical systems investigated and the techniques developed during the

PhD could be applied to other physical systems with similar properties.

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Israel Scholarships

Marie Curie Innovative Training Network (ITN) META-CAN – PhD position in Computational biology to…

The Machine Learning for Healthcare and Life Sciences group at IBM Research – Haifa is a partner in the funded Marie Curie Innovative Training Network (ITN) META-CAN. The network is a pan-European interdisciplinary and intersectoral training programme for excellence.  It brings young researchers together with world-leading academics, clinicians, and industry personnel to focus on the connections of metabolism, immune response, and cancer.

We are looking for an enthusiastic and highly-motivated early stage researcher (ESR), with a background and experience in computational biology, machine learning and/or statistics and good programming skills (preferably in Python or R). This ESR will study towards a PhD degree and, under our guidance (and in collaboration with the Technion Integrated Cancer Center), will analyze comprehensive omics data to better understand the metabolic adaptations of cancer cells to the central nervous system niche.

The right candidate will enjoy a competitive salary and outstanding work environment.

For more details see http://metacan.eu/  or contact [email protected]

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