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Field
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structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data
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is internally funded by NMBU and is linked to the ForestFeed project, which is part of the Bioeconomy in the North program. This exciting PhD opportunity is at the forefront of sustainable aquaculture
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acquisition of a range of environmental and operational data in the digitisation of food manufacturing processes for processing using applied AI techniques. We anticipate the successful applicant will develop
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talented and motivated applicant to undertake an original programme of research working with ecologists Dr Ashley Lyons and Dr Anne Oxbrough in collaboration with Dr Steven Ewing at the RSPB Centre
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for Astrophysics at Potsdam, and the Institute Elie Cartan at the Univ. Lorraine in Nancy, work together on the issue of the relation and interaction between galaxy formation and evolution and cosmic web environment
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September 2025. As a PhD student, you will plan, lead, and execute the project in collaboration with your supervisors, contribute to the overall project development, and participate in teaching activities
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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally
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courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group Our lab is advancing precision medicine through deep learning models
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research funding" at the PhD Programme in Management. The position is available from 1 September 2025 (or as soon as possible thereafter). The research project The PhD position will focus on the assessment