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brings complementary and/or additionally new expertise including AI/Machine Learning-based methodologies that can be developed for virtual ligand screening, reverse virtual screening (target fishing) and
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that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks
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changes in sensory coding. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on
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identification Experience in collaborative and international projects Experience/knowledge in HIL systems Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Personal
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, engineering, data science, and machine learning. For this position, knowledge of systems and networking is highly desirable. We highly value scientific curiosity and the desire to tackle hard, relevant problems
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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https
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models remain a limiting factor in moving to a quantitative scale. Molecular simulation has benefited from recent advances in machine learning and generative artificial intelligence to such an extent
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Job Description Position Purpose The Department of Genome Sciences has an outstanding opportunity for a Research Scientist/Engineer 3 (RSE3), Bioinformatics Analyst. The position will play
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to staff position within a Research Infrastructure? No Offer Description PhD Position for Synthetic Biology-Inspired Therapies A World-Class Research Environment at the Nexus of Biology, Engineering
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this opportunity? Please email npp@orau.org Qualifications Preferred Qualifications for the Ideal Applicant PhD in Cryosphere Sciences or similar field Strong background in machine learning and neural