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Field
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computer science or machine learning with a specialization in natural language processing Documented knowledge of core machine learning methods and techniques, including at least basic experience with deep neural
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Clinic. Responsibilities include (i) supervising law students on cases and impact advocacy projects, and serving as a mentor and role model to law students in the clinics; (ii) helping to design and teach
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team in the AI in Medicine Lab (www.aimlab.ca ). This position is based in the School of Biomedical Engineering. The successful candidate will work in the AI in Medicine Lab, applying machine learning
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to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research
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profile for their ideal candidates are described as follows. PREMAL is a project focused on privacy-preserving machine learning using FHE. The project will investigate trade-offs between accuracy, time, and
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simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical
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status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment
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-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment. This project will involve applying and evaluating statistical and machine learning models for data
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a weighting of 60%; (as defined in tables A.2.1, A.2.2, and A.2.3, in the criteria minutes) A.2.1: Knowledge of computer vision, weighted at 70% A.2.2: Knowledge of machine learning, weighted at 15% A
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related