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Field
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MSc in physics, applied mathematics, environmental sciences, computational science or a related field; excellent skills in scientific programming and numerical/statistical analysis of simulated and
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design. This role is ideal for candidates with strong wet-lab experience in microbiology, molecular cloning, and antimicrobial assays. A working knowledge of basic statistics is required. Additional
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health behaviors. The position may include some classroom teaching in statistics and/or research methods. The position affords opportunities for professional development and advancement, with guidance
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the unique opportunity to develop skills in analytical, statistical and data science techniques, working with real world data to provide recommendations for UKHSA on how pharmacy OTC data could be used
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Management Services at jobaccommodations@ucsc.edu or (831) 459-4602. Notice of Availability: In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (the Clery
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statistics, health economics, or in a scientific discipline relevant to healthcare (assessed at: application) Have demonstrated experience in relevant research methods, for example through publications in peer
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be based in the School of Computer Science and Statistics at Trinity College Dublin, Ireland and will be funded under the Science Foundation Ireland Investigators award project. The researcher will
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matter physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Good English language – spoken and written Nice-to-have: Experience with molecular dynamics simulations
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. Experience in statistics is also desirable. In line with CEA's commitment to the integration of disabled people, this job is open to all. The CEA offers accommodation and/or organisational possibilities
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project TARGET-AI will bring together expertise from multiple research groups to advance the state-of-the-art in combining the most advanced techniques from deep learning/AI with rigorous statistical