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experience would be an asset. EXPECTED SKILLS : Design and lead sample collection Operate effectively in a clean lab environment Apply element separation protocols Process data using appropriate mathematical
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microscopy, confocal microscopy, and SEM tools. The candidate will need to either be trained or already possess skills in mineralogical characterization and the analysis of microbial communities through
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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well as omics data generation and analysis will be considered as important assets Strong drive for experimental work, including the handling of model organisms, and a high curiosity to decipher disease mechanisms
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data to refine objective measures of neural function and improve clinical strategies for hearing aid optimization in this population. References: [1] A. Starr, T. W. Picton, Y. Sininger, L. J. Hood, and