PhD scholarship in carbohydrate nanosensors for health and disease

This ARC Discovery Project-associated PhD project aims to develop SEROA, a nanotechnology-based technique, to detect protein-carbohydrate interactions for disease research. It involves X-ray crystallography and computational simulations to facilitate structure-function analysis.

This ARC Discovery Project-associated PhD project aims to develop SEROA, a nanotechnology-based technique, to detect protein-carbohydrate interactions for disease research. It involves X-ray crystallography and computational simulations to facilitate structure-function analysis.

$33,826 per annum, 3 years

$33,826 per annum, 3 years

Applications are now open.

Applications are now open.

31/12/2023

31/12/2023

One (1) scholarship available

One (1) scholarship available

Standard RMIT PhD enrollment requirement

Standard RMIT PhD enrollment requirement

All applicants should email the following to Associate Professor Paul Ramsland ([email protected] ):

1) a cover letter, this should detail the alignment of your prior research experience with the advertised project,

2) your Curriculum Vitae, and

3) any other information relevant to your suitability for the position (e.g., copies of published papers, conference abstracts or poster/oral presentations)

All applicants should email the following to Associate Professor Paul Ramsland ([email protected] ):

1) a cover letter, this should detail the alignment of your prior research experience with the advertised project,

2) your Curriculum Vitae, and

3) any other information relevant to your suitability for the position (e.g., copies of published papers, conference abstracts or poster/oral presentations)

Preferable candidates should have a background one of the following areas in biochemistry, chemistry, structural biology, bioscience, or biomedical science. Interest and/or experience in computational analysis and programming skills relevant to handling data for structural biology or chemistry (spectroscopic analysis) would be an advantage.

Preferable candidates should have a background one of the following areas in biochemistry, chemistry, structural biology, bioscience, or biomedical science. Interest and/or experience in computational analysis and programming skills relevant to handling data for structural biology or chemistry (spectroscopic analysis) would be an advantage.

Associate Professor Paul Ramsland [email protected]

Associate Professor Paul Ramsland [email protected]