Postdoc: Membrane Protein Biophysics & AI Channel Discovery

Queen Mary University of London; Greater London; Presencial; GBP 39.000 - 53.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salaries

Pension scheme

30 days leave per annum

Season ticket loan

Professional development opportunities

Descripción de la vacante

Queen Mary University of London’s School of Physical and Chemical Sciences invites a Postdoctoral Research Associate to join Dr Wojciech Kopec’s group on the Dark Channelome project. You will generate membrane-protein assemblies, analyse pore geometry and hydration, and apply computational electrophysiology to test candidates.

Collaborating with Oxford partners, you will translate findings into experimental predictions and contribute to an openly shared resource, with opportunities to publish,

Formación

• Experience in biomolecular MD, protein structural modelling, scientific programming, Linux-based HPC, and membrane-protein biophysics.
• A relevant PhD is required by the start date.

Responsabilidades

• Generate and assess membrane-protein assemblies.
• Analyse pore geometry and hydration.
• Use computational electrophysiology to test candidates.
• Collaborate with Oxford partners to turn findings into experimental predictions and share resources.

Conocimientos

Biomolecular MD

Protein modelling

Scientific programming

Linux HPC

Membrane-protein biophysics

Educación

PhD in a relevant field

Herramientas

AlphaFold

MD simulation

Descripción del empleo

Queen Mary University of London’s School of Physical and Chemical Sciences invites a Postdoctoral Research Associate to join Dr Wojciech Kopec’s group on the Dark Channelome project. You will generate membrane-protein assemblies, analyse pore geometry and hydration, and apply computational electrophysiology to test candidates.

Collaborating with Oxford partners, you will translate findings into experimental predictions and contribute to an openly shared resource, with opportunities to publish,