One-Year Proteogenomics Research Grant—Candida albicans

University of Aveiro; Portugal; Presencial; EUR 15 000 - 16 000; Tempo integral

Resumo da oferta

University of Aveiro invites applications for a Master Fellow in Biomedical Sciences to support proteogenomic analysis of Candida albicans isolates. The project focuses on identifying translation errors and their role in pathogenicity, involving culture growth and pipeline optimization.

Applicants should have a Master’s-related degree, lab experience in microbiology and molecular biology, and skills in R/Python; knowledge of Candida albicans biology is essential.

Qualificações

• Masters enrolled in a program that does not confer an academic degree.
• Master's degree in Biomedicine, Biology or similar.
• Experience in microbiology, culture growth and molecular biology techniques.
• Experience in proteomics data analysis using different software platforms.
• Knowledge of programming languages including R and Python.
• Knowledge of Candida albicans biology and protein translation mechanisms.

Responsabilidades

• Support proteogenomic analysis of clinical Candida albicans isolates.
• Identify and quantify protein translation errors and relate to pathogenicity.
• Participate in culture growth and development of a proteogenomic analysis pipeline.
• Validate and quantify proteins/peptides using PRM.
• Bioinformatic processing and analysis of resulting data.
• Contribute to understanding of translation errors in adaptation and pathogenicity.

Conhecimentos

Laboratory experience

Microbiology

Molecular biology techniques

Proteomics data analysis

Programming (R, Python)

Candida albicans biology

Formação académica

Integrated master's program

Master's degree in Biomedicine/Biology

Descrição da oferta de emprego

University of Aveiro invites applications for a Master Fellow in Biomedical Sciences to support proteogenomic analysis of Candida albicans isolates. The project focuses on identifying translation errors and their role in pathogenicity, involving culture growth and pipeline optimization.

Applicants should have a Master’s-related degree, lab experience in microbiology and molecular biology, and skills in R/Python; knowledge of Candida albicans biology is essential.