We are looking two recruit two MSc by Research students to work on developing analytical protocols and predictive models for analysis and identification of designer drugs and new psychoactive substances.The se projects will focus on acquiring spectral data of new psychoactive substances and developing computational models which will exploit spectroscopic data acquired by our group. Computational techniques such as Support Vector Machine (SVM), Artificial Neural Network (ANN) and chemometrics methods will be used to identify components of mixtures with unknown composition. The predicted composition of the mixtures will be validated using Nuclear Magnetic Resonace spectroscopy (NMR), mass spectrometry (MS) and gas chromatography coupled to mass spectrometer (GC MS). Our MSc by Research programme is suitable for those wishing to acquire research skills and gain training in a number of different analytical and/or computational techniques. You will be part of a successful multidisciplinary team involved in EU wide projects, and you will be involved in exchange of results with our international collaborators.
For the further information about the course, tuition and bench fees visit the University of Hertfordshire web page. For further informal enquires about MSc by Research course contact Prof Mire Zloh ([email protected]). If you feel that your skills and experience match what we are looking for, please apply by submitting your CV, transcripts and covering letter to Prof. Mire Zloh. Shortlisted candidates will be interviewed. Successful candidates will apply for the MSc by Research course and be responsible for paying the tuition and bench fees to the University of Hertfordshire.
• You must possess an honours degree (normally at least 2:1 or above) in chemistry, computational chemistry, computing or a relevant discipline.• Self-motivated, enthusiastic, cooperative and reliable.• The ability to work accurately and with attention to detail.• Good interpersonal skills and the ability to work well with other scientific staff.• The ability to work well independently, and as part of a team.• Good organisational and time management skills.• Good verbal and written communication skills.• Computer proficiency
Recipient: University of Hertfordshire
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