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advanced computational tools to dissect the role of alternative splicing in these diseases. The postdoctoral fellows will work on computational method development and data analysis for bulk and single-cell
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for microbiological research and antibacterial drug discovery. The work mostly comprises of using various microbiological methods (e.g. antibacterial susceptibility testing, biofilm assays), designing, developing and
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microbiological methods (e.g. antibacterial susceptibility testing, biofilm assays), designing, developing and validating new assays, and utilizing various laboratory instruments for automation and detection
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sensitivity of biosensors to improve existing sensors and to enable new technologies for a wide range of biomarkers and application areas. Skills, expertise and/or qualifications Doctoral degree (PhD
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author) in the field of computational biophysics (molecular dynamics simulations and/or quantum chemistry). Any experience in development and application of AI/ML methods in tandem with modeling and