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will lead on co-designing a mixed methods PhD project with a partner organisation, scoping a feasible topic that aligns with Workstream 1. They will conduct literature and policy reviews on racialised
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agriculture and contribute to the development of cutting-edge tools and methodologies that advance crop science and sustainable agriculture practices. The successful candidate will play a key role in designing
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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iteratively refine each strategy, thereby maximizing both scientific impact and translational potential. Responsibilities Design multifunctional nanoplatforms (organic, inorganic, hybrid) for image-guided (PET
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centre expands its role in methodological innovation and research infrastructure, you will have the opportunity to make a tangible impact on how complex economic data are accessed, understood, and used
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. The position is located at the Department of Optometry, Radiography and Lighting Design and reports to the Head of Department. The place of employment is Campus Kongsberg. The employment period will be three
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duties as assigned by the Department Chair in support of the Department’s missions of teaching, research and service. Job Description: Key Roles and Responsibilities Work with PI/faculty mentor, to design
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require the design of architectures suitable for real-life problems. Moreover, appropriate mathematical methods, algorithms, and applications are required. Simulators are a recognized method for
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on the design, optimization, and implementation of integrated quantum sensor architectures. As part of a multidisciplinary team, you will explore innovative, energy-efficient approaches to precision sensing in a
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for Responsible Media Technology & Innovation. MediaFutures is a centre for research-based innovation at the University of Bergen and is located at Media City Bergen. The centre is a part of the Norwegian Research