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Field
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individually, make a real difference. The role This post is part of a five-year project “SignGPT” which will build tools to allow spoken language to be automatically translated into photo-realistic sign language
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to achieve this aim and to collectively, and individually, make a real difference. The role This post is part of a five-year project “SignGPT” which will build tools to allow spoken language to be
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-based genome editing tools into next-generation gene therapies to treat those untreatable human genetic diseases, such as cystic fibrosis and liver cancer. To achieve this, we will engineer advanced
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close to completing) a PhD or equivalent experience in Psychology, Sociology, Anthropology, Health Sciences, Speech-Language Pathology, Audiology or another relevant subject area, and be experienced in a
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and processing of soil and chestnut tissue samples throughout the year; 2. Isolation, identification and characterisation of microorganisms from the samples using cultural and molecular methods; 3
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drafting and editing publications. Strong oral communication and interpersonal skills. Demonstrated experience with quantitative and/or qualitative research methods is desirable. A demonstrated knowledge of
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of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods on computer vision. Job Requirements: Preferably PhD in Computer
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administrative and Internal Review Board (IRB) processes for ARCC grant. Contribute to a collaborative and interdisciplinary work environment Maintain excellent research group citizenship Supervise junior staff
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driven single-photon diodes (SPDs). Proficiency in cleanroom-based nanofabrication processes (e.g., thin-film deposition, etching, doping). Experience in optical cavity design and integration
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fungi) and abiotic stresses (climatic conditions). The tasks to be developed fall within the MicroHealthChest project, and consist of: 1. Collection and processing of soil and chestnut tissue samples; 2