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costs of their project. We will support two students, one in the area of health data science/epidemiology/statistics and the other specialising in applied machine learning and informatics. The closing
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frameworks (MOF), a reticular class of materials for their use as excipients. The project also involves elements of machine learning models for screening appropriate excipients from FDA data base. Person
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to relevant research case studies within the AI4CI Research Hub. Developing data pipelines, machine learning models, and smart agents in simulated and real environments to develop and test hypotheses around the
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communication skills and preferably experience of using Python and machine learning in an applied context, preferably in a healthcare environment. This role is a part time (7.3 hours per week) fixed term
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pipelines, machine learning models, and smart agents in simulated and real environments to develop and test hypotheses around the application of AI in developing resilience to pandemics. Analysing historical
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more than one year (or part-time equivalent) are NOT eligible to apply for an award. Recommended reading https://www.england.nhs.uk/2019/06/nhs-aims-to-be-a-world-leader-in-ai-and-machine-learning-within-5
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3 Jun 2024 Job Information Organisation/Company Université de Namur Department Physics department: Research unit for analysis by nuclear reactions (LARN) Research Field Computer science » Modelling
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the department. Areas that we aim at covering include but are not limited to: AI and Machine Learning, with interest to ground, aerial, and marine robots. About you You should have a PhD in Robotics, AI, or a
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collaborative, interdisciplinary setting. You must hold (or be about to receive) a PhD in Statistics, Data Science, Computer Science, or a related discipline. Substantial experience applying machine learning
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have a PhD in a relevant area as well an appropriate track-record of high quality research outputs in the field of Artificial Intelligence / Machine Learning, and clear and ambitious plans for future