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or fracture modelling, or equivalent experience Robust experience with computer coding (e.g., Python, C++) Track record of publication, commensurate with career stage, in internationally recognised journals
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, Bayesian and maximum likelihood approaches, spatial statistics and random forests or other machine-learning approaches and be quick to learn new techniques. Enjoyment of analysis of large and spatially
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) the construction of machine or deep learning models to identify patterns of codon usage in yeast genomes, 2) the implementation of tRNA-sequencing across diverse yeasts and conditions, and 3) the construction
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by logging into their existing Workday employee account. Position Summary: This position will focus on developing robotics and cyber physical systems solutions, using machine learning and artificial
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to NEWRI’s AI modelling and optimization research for sustainable and resilient operations of water systems. Key Responsibilities: Conduct high-quality research on machine learning modelling, soft sensing, and
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Learning Research (JMLR), Transactions in Machine Learning Research (TMLR), and IEEE Big Data. Methodological areas of particular interest to our laboratory include (1) probabilistic modeling
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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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advertisement About the position Integreat – Norwegian Centre for Knowledge-driven Machine Learning at University of Oslo is looking for a candidate for a postdoctoral project in ethics and AI. Starting date as
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. Prepare and maintain classroom and lab (i.e., kitchen and restaurant) for applicable learning activities. Responsible for coordination and associated paperwork for 620 West and enterprise activities. Assist
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Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review