BAM is seeking a Postdoctoral Researcher to join the “eScience” team and contribute to advancing computational methods for non-targeted metabolomics through machine learning. The position focuses on developing and optimizing machine learning models and algorithms, particularly Fiora, for materials science and metabolomics. A PhD in computational chemistry, bioinformatics, or a related field is required, along with experience in machine learning and data science. The role involves GPU optimization, algorithm validation, and collaboration in an innovative research environment.
