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for postdoctoral researchers that will contribute to applying our research capabilities to solar physics. The overarching objective is to build large scale models of solar phenomena and apply them to important
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functions beyond protein production, with ongoing projects investigating the mechanisms of mRNA packaging and organization and their connections to human diseases. More information is available at https
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synthetic organic and medicinal chemistry are encouraged to apply. The research is aimed at developing an automated chemical platform for the synthesis and biological evaluation of natural products as leads
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prediction … At the core of their ability is the capacity to generalize unseen data and to be applied as pretrained models to different domains. However, these properties remain only partially understood
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- Strong programming, statistical, and technical skills (e.g., Matlab, Python, R) Please apply with your cover letter, CV, and 2-3 references. For people in the EU, click here for information on your privacy
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position is available at the Center for Soft Matter Research, Department of Physics, New York University under the supervision of Prof. Sarah Kostinski. The research will be focused on theoretical aspects
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Employer https://main.hercjobs.org/jobs/22167044/post-doctoral-associate-in-the-division-of-engineering-x28-electrical-and-computer-engineering-x29-dr-qurrat-ul-ain-nadeem Return to Search Results
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students within the lab. The successful candidate will have a demonstrated background in Chemistry, Physics, Engineering, or a field related to the research being conducted. The individual must be able
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: Education: Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline. Experience: Expertise in developing and training AI models Proficiency in Python
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complex designs, and conducting big data analyses using advanced statistical models. Experience in the use of various datasets, e.g., TOPMed, UK Biobank, All of Us, and/or digital health data, is also