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://doi.org/10.1126/sciadv.abh1275 ; highlighted by @NCIgenomics as the #1 favorite paper of the year), Analytical Chemistry (https://doi.org/10.1021/acs.analchem.4c05138 ), and Cancer Letters (https
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, including hands-on implementation Strong understanding of machine learning models and their development Strong analytical, problem solver, and programming skills for Python and Matlab are preferred Experience
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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Lab at Princeton University aims to recruit a postdoctoral fellow or more senior research position to work on projects related to the development of AI/machine learning approaches for chemical and
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senior research position to work on projects related to computational analysis of mass spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational
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are looking for a highly motivated postdoctoral researcher with strong analytical and programming skills, solid expertise in computational biology or bioinformatics, and a genuine interest in translational
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Help driving forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a main role in developing digital tools and methodologies
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of mitochondria in T cells and must have prior experience with mouse models and immunological techniques. They will have the opportunity to learn and perform LC-MS metabolomics using the Thermo Orbitrap Exploris
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at the intersection between analytical chemistry, chemometrics and life sciences. As a postdoc in this project you will learn to use and help to develop cutting-edge methodologies linked to vibrational spectroscopy and
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for specific textile functionalities (antibiofilm, repellence, adhesion). Characterize the deposited materials using various surface analytical techniques (e.g., XPS, SEM, etc.). Evaluate the performance