Research Fellow: Computational Structural Biology & MD

1000scholars; Birmingham; Presencial; GBP 37.000 - 46.000; Jornada completa

Descripción de la vacante

University of Birmingham invites applications for a Research Fellow in Computational Structural Biology in the group of Prof. Teresa Carlomagno.

The post focuses on applying advanced molecular dynamics to membrane proteins, protein-ligand complexes, and macromolecular assemblies, integrating computational models with experimental data. The successful candidate will develop new methods, supervise PhD researchers, and contribute to funding proposals, seminars, and publications, while collaborating

Formación

• PhD (or near completion) in Computational Structural Biology, Biophysics, Structural Biology, Computational Chemistry, Biochemistry, Physics, or a related field.
• Proficiency in computational studies of biomolecular systems.
• Experience with membrane proteins and/or protein-ligand complexes; multiscale modelling desirable.

Responsabilidades

• Develop research objectives and proposals in Computational Structural Biology.
• Generate, analyse, and interpret computational data alongside structural biology data.
• Apply advanced molecular dynamics techniques to investigate membranes, protein-ligand complexes, assemblies.
• Integrate computational models with experimental data.
• Disseminate findings through seminars, conferences, publications.
• Supervise students and PhD researchers; contribute to funding applications.

Conocimientos

Molecular dynamics

Enhanced-sampling methods

Data analysis

Multiscale modelling

Collaborative work

Educación

PhD in Computational Structural Biology or related field

Herramientas

Molecular Dynamics Software

Metadynamics

Accelerated MD

Descripción del empleo

University of Birmingham invites applications for a Research Fellow in Computational Structural Biology in the group of Prof. Teresa Carlomagno.

The post focuses on applying advanced molecular dynamics to membrane proteins, protein-ligand complexes, and macromolecular assemblies, integrating computational models with experimental data. The successful candidate will develop new methods, supervise PhD researchers, and contribute to funding proposals, seminars, and publications, while collaborating