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metrics. - Uso de técnicas de aprendizaje máquina/profundo y técnicas de segmentación aplicado al procesamiento de imágenes y vídeo / - Use segmentation and machine/deep learning techniques applied to image
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Python or R and web development to create software, process genomic data, and implement machine learning solutions that assist clinicians in advancing cancer diagnosis and classification. REPORTS TO Dean
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the ability and interest in learning new techniques; must be willing to follow verbal and written instructions; be observant, attentive to detail, organized, efficient, and work well with others
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are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language models and multimodal processing Excellent
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are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language models and multimodal processing Excellent
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making and machine learning, with real-world testing and feedback. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under
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, collecting and analysing biomedical data, training machine learning models for bowel sound classification, and supporting prototype refinement and software integration for eventual commercialisation. Key
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in practical applications. We are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language
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in mathematics, statistics, computing or biology. Applicants with a strong quantitative (particularly applied statistics) or computer programming background, combined with marine biology will be
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hourly position of about 6 - 12 hours a week. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning