515 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "I.E" Fellowship positions in United Kingdom
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a Pharmaceutical Innovation Programme Singapore research project where you
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experience in using interdisciplinary approaches in their research program. Excellent written and oral communication skills. To see the complete job description click here . To see more about team/Group Leader
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advised that normally your references will be contacted prior to the interview. For more details and/or to apply on-line please access: https://jobs.nottingham.edu.cn/job/184375/ If you are unable to apply
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research
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experience: • Expertise in machine learning for audio, including speech, music and ambient sound generation • Research publications in relevant areas, i.e., generative AI, speech/audio signal processing
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world class research Essential Application Experience with one or more programming languages (e.g., Python, R, Matlab, Fortran). Essential Application Motivated and self-assured in taking initiative
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biophysics and soft matter is highly desirable, as is expertise in live imaging, microscopy and microfluidics. Proficiency in scientific programming, especially computational image and data analysis and fluid
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experience: Expertise in machine learning for audio, including speech, music and ambient sound generation Research publications in relevant areas, i.e., generative AI, speech/audio signal processing, machine
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Associate on this project, you will be at the heart of an ambitious effort to transform how we quantify the drivers of infectious disease transmission, i.e. the drivers of the effective reproduction number
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experience: Expertise in machine learning for audio, including speech, music & ambient sound generation Research publications in relevant areas, i.e., generative AI, speech/audio signal processing, machine