PhD Studentship: Autonomous Bioactivity Searching (ENG1753)

Job title:

PhD Studentship: Autonomous Bioactivity Looking out (ENG1753)

Firm

College of Nottingham

Job description

Location: UK Different
Closing Date: Friday 31 Might 2024
Reference: ENG1753Topic space:Drug Discovery, Laboratory Automation, Machine StudyingOverview:This 36-month funded PhD studentship will contribute to cutting-edge developments in automated drug discovery via the combination of excessive data-density response/bioanalysis methods, laboratory automation & robotics and machine studying modelling. This thrilling challenge includes the appliance of progressive strategies equivalent to high-throughput experimentation to expediate the syntheses (and bioanalysis) of life-saving prescribed drugs. The next knowledge will then be used to populate machine studying fashions to foretell which molecules to synthesise subsequent, to maximise the binding affinity of the molecules to a goal protein. The analysis will likely be carried out utilizing state-of-the-art gear, together with each business instruments and bespoke in-house equipment. As a key member of our workforce, you’ll play a pivotal position in advancing the frontiers of drug discovery, laboratory automation, and the modelling of chemical knowledge.Key Tasks:

  • Utilise excessive data-density response/bioanalysis methods, together with high-throughput experimentation, to tell and improve drug optimisation.
  • Make use of machine studying to analyse advanced datasets, extract significant insights, and information the optimisation of drug molecules.
  • Collaborate with inside teams, together with the Centre for Additive Manufacturing (CfAM) to design and fabricate (3D print) bespoke gear tailor-made to the challenge’s particular wants.
  • Contribute to interdisciplinary analysis efforts, fostering collaboration between numerous analysis teams, and actively take part within the dissemination of findings via publications and conferences.

{Qualifications}:

  • Accomplished or nearing completion of a Grasp’s diploma in Medicinal Chemistry, Chemical Engineering, or a associated discipline.
  • A background in move chemistry, and/or high-throughput experimentation is fascinating.
  • Proficiency in programming languages (Python/MATLAB) generally utilized in machine studying purposes is fascinating however studying will be accomplished in the course of the PhD.
  • Glorious communication and interpersonal expertise to facilitate collaboration inside interdisciplinary analysis groups.

Utility Course of:To use, please submit your CV and a canopy letter outlining your analysis pursuits and related expertise to . Please additionally contact this e-mail for additional info and an off-the-cuff dialogue concerning the PhD.This is a wonderful alternative for an enthusiastic graduate to construct a robust skillset in interdisciplinary analysis and a collaborative community with each educational and industrial companions at a global stage. Because of the nature of the funding, solely UK candidates will be thought-about for this place – upon discovering the profitable candidate, funding is then acquired via College of Nottingham.

Anticipated wage

Location

Nottingham

Job date

Wed, 28 Feb 2024 04:15:46 GMT

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