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collaborative environment within our organization. To contribute to research aimed at improving sustainability and efficiency in food production. The successful candidate will work on different foods (dairy
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of climate change modelling and Carbon, Capture, Utilization and Storage. The position will be involved in a number of projects, involved in different aspects of linking climate change with energy system
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, statistics, machine learning, mathematics, data science, computer science or another relevant field. Doctoral dissertation must be submitted for evaluation by the closing date. Appointment is dependent
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, which makes it ideal for ecological simulations where precise mathematical descriptions of key processes are lacking but data for training are available. The MCL methodology will be applied on critical
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interdisciplinary Convergence Environment under UiO:Life Science , based at the Natural History Museum, and in collaboration with the Department of Mathematics, the Department of Biosciences and the Department
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instruments; Apply laboratory techniques to measure the organic carbon content of soils subject to different treatments; Use standardized rating scales and sampling methods to ensure accurate and consistent
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
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of interacting with all members of the project team across the different tasks, ensuring effective coordination among partners; planning and executing experimental trials and sampling activities, in compliance
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time, or place, or quantity? In many different fields of cell biology, there are debates about whether and how much the explanation of the production of the right cells is to be imputed to lineages
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and health for the benefit of society. The vision is to make a difference by generating future prosperity through research into food and health. The institute works to prevent disease and promote health