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, or ophthalmic research is considered an asset. · Experience with single-cell genomics, spatial transcriptomics, machine learning, artificial intelligence, or translational biomedical research is considered
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to the lab's ongoing research projects, while also develop their own scientific niche. An ideal candidate will bring new expertise and experience to the lab, while showing interest in learning new skills
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Department of Computing Postdoctoral Fellow (four posts) (Ref. 260915011) [Appointment period: each for eighteen months] Duties The appointees will assist the project leader in the research project
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to find out more about the Department. About you This is a post for a medical doctor and would be especially suitable for trainees in infectious or tropical diseases, medical microbiology/virology
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. The objective is to further develop and validate machine-learning surrogate models derived from high-fidelity multiphysics simulations of reactor transients and quantify how surrogate uncertainties propagate
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++, Java, Julia, or other competent languages. A good record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, and optimization
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 hour ago
Unit Biological Sciences Work Location Woodward Hall Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time Hours per week 40hr Work Schedule 8am – 5pm Pay
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record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, or optimization Proficient in both written and spoken
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September and December 2026. We seek an ambitious researcher with expertise in artificial intelligence, machine learning, or computational statistics, and a demonstrated interest in applications to human
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials