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the global health scenario and domestically for dissemination, and plenty of opportunities for career advancement. •Learn background/research methods of studies for which analysis is conducted with limited
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. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
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Science, Computer Science, Data Science, Neuroscience, or a related field by the start date. Demonstrated expertise in computational modeling of human behavior or computer vision / machine learning
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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. Desired additional skills: • Independence and decision-making ability; • Openness to new concepts, ease of learning. Job description: • Conducting experimental research in the laboratory
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internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development
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of large lifespan cohorts. Independence is key, the post holder is expected to take the lead in developing analytic questions, testing and comparing developmental models, and prepare reports for journal
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discipline • Demonstrated research experience and record of scholarly productivity • Strong analytical, organizational, and communication skills • Ability to work both independently and collaboratively
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(or equivalent combination of education and experience) • Ph.D. or equivalent terminal degree in a relevant discipline • Demonstrated research experience and record of scholarly productivity • Strong analytical
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to completion) or possess equivalent research experience in a relevant computational field such as data science, artificial intelligence, machine learning, computer science or statistics. They will bring strong