PhD Scholarships
PhD Research Studentship – Lipidomic analysis of biological samples: identification of bioactive lipids associated with osteoarthritic pain
- Reference
- MED1460
- Closing Date
- Wednesday, 31st January 2018
- Department
- School of Life Sciences, School of Medicine and School of Pharmacy
Description: Osteoarthritis (OA) is a major clinical problem, and chronic pain is one of the dominant presenting symptoms. There are major gaps in our understanding of the mechanisms of OA pain. LC-MS/MS is a highly sensitive method for the analysis of biological samples, which we have used to quantify levels of bioactive lipids in plasma samples from OA sufferers. The aim of this studentship is to build upon this work to identify, and quantify, levels of bioactive lipids in plasma samples from OA sufferers and to perform statistical and pathway analysis with existing clinical data from these subjects (including pain scores). Some additional cell biology methods will be used to address specific hypotheses leading from the studies.
This project will involve the use of mass spectrometry, cell biology techniques and statistical and pathway analysis thereby providing comprehensive skills and training to students embarking on a career in biomedical research. This project will be supervised by Professors Victoria Chapman and David Barrett and Dr Ana Valdes and will be embedded within the Nottingham Biomedical Research Centre.
This study is being supported by the newly established NIHR Nottingham BRC and will benefit from collaborations within the BRC and the Arthritis Research UK Pain Centre.
Applicants should have, or will expect to attain at least a 2:1 degree classification in biochemistry, pharmacology, neuroscience or physiology (or a related discipline).
The successful student will be registered for a PhD; the studentship is available from September for a period of three years and provides a postgraduate stipend of £14,624 in year 1 with increments in line with Research Council Rates. This studentship is available to UK/EU citizens.
The University of Nottingham is the top 1% of global universities and is ranked eighth in the UK on a measure of ‘research power’, with more than 80% of research rated as world-leading or internationally excellent. The University of Nottingham also offers a world-class research training environment for postgraduate students, including an excellent range of support and services.
General information about the Department(s)/Institution(s) can be found at:
Nottingham Biomedical Research Centre: www.nottinghambrc.nihr.ac.uk
School of Medicine: http://www.nottingham.ac.uk/medicine/index.aspx
School of Life Sciences: http://www.nottingham.ac.uk/life-sciences
School of Pharmacy: http://www.nottingham.ac.uk/pharmacy
Arthritis UK Pain Centre: http://www.nottingham.ac.uk/paincentre
Informal enquiries may be addressed to Victoria Chapman Email: [email protected] .
Applications, with a detailed CV and the names and addresses of 2 referees, should be sent to [email protected] or Victoria Chapman, School of Life Sciences, Queen’s Medical Centre, Nottingham NG7 2UH. Please quote ref. number at top. Open until filled.
Interviews will take place January 2018.
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).
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/
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,
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.
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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