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models for mass spectrometry data, or multimodal models integrating multiple sources of analytical data for the discovery of metabolites and other types of small molecules. The position will remain open
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analytical reasoning applied to observational data; A track record of authoring scientific publications; Fluency in English. Preferred High-level report writing and presentation skills; A specific experience
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computational biology/chemistry, machine-learning for biological or chemical data, metabolism, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is
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profile PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related fieldStrong research track record, preferably with publications in leading AI and Computer Vision
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
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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
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. Publish results in peer-reviewed journals and present findings at international conferences Required Qualifications PhD in proteomics, analytical chemistry, physical chemistry, or a closely related
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workflows and analytical strategies Collaborating with national and international partners Contributing to high-impact publications and research grant development The position offers the opportunity
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and