568 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" positions at Nature Careers
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equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment. The University of Toronto has adopted the AAU Principles on Preventing Sexual Harassment in
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Faculty Positions in Genomics and Bioinformatics at the Institute for Genome Sciences, University of
translational biomedical research. We especially encourage applicants with research programs focused on developing machine learning / AI methods for bioinformatics, subclone and mutational analysis, genome
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water matrices and case studies, while the AI4Science PhD will develop machine‑learning models that learn from and build upon these pNTA results. The successful candidate will be supervised by Prof. Dr
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but not required: Experience or interest in machine learning and artificial intelligence Experience in survey research and study design Salary range of this position is 140K to 200K and reflects
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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the Centre, enables collaborations in data analysis, computational modelling, machine learning and theory. SWC also benefits from interaction with the wider UCL Neuroscience community, which brings together
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of emerging methods in metabolic analysis, metabolic modelling, machine learning, and data-driven biology, identifying opportunities to apply new tools to accelerate discovery. Work closely with experimental
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: Joining an energetic, intellectually vibrant, and collegial lab team. Opportunities to learn, grow as an administrative professional, and be mentored. Joining the vibrant University of Washington research
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quality of care in hospitalized or critically ill patients. Using physiologic monitoring devices and digitized patient data, we implement statistical and machine learning decision support tools to detect
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that currently lack effective treatments, such as Parkinsons Disease. By combining machine learning with quantum chemistry and structure based approaches, the project will accelerate the translation