14 affective-computing-"https:"-"https:"-"https:"-"Linnaeus-University" PhD positions at Norwegian University of Life Sciences (NMBU)
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, cognition, gut function, and neuroplasticity of the brain. Because gut health affects mood, stress, and cognition through the so-called gut–brain axis, the project combines behavioral and physiological
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more science-based enrichment practices. The project is divided into four main parts: 1. Test how hay and physical activity affect behavior, social interactions, cognition, and welfare. 2. Test how hay
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contributions impact on how changes are understood and considered in landscape planning and decision-making. Within this framework the PhD-project should address one or a combination of the following perspectives
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landscape. While acutely affected by global climate change, the Arctic is also framed as a potential source of planetary solutions: from a new era of space development and satellite technologies to enhance
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22nd April 2026 Languages English English English Curious about plant–soil interactions? Join a PhD on how soil contaminants impact food plants PhD scholarship within Plant/Soil Sciences with focus
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two vacant 3-year PhD–positions related to cow-calf contact in dairy production. The project “Connections – Impact of bonding time on welfare and productivity of cow and calf”, funded by the Norwegian
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and NTNU is at the same time an application for admission to a PhD program at the institutions. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as
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the research group’s scientific activities. NMBU via Unsplash NMBU Competence Required qualifications A Master's degree or equivalent in in Robotics, Mechatronics, Computer Science, Control Engineering
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relevant Engineering discipline, or a related field. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates submitting MSc thesis within 30. June 2026 may be considered
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to MINA’s PhD programme. The documentation that is necessary to ensure that the admission requirements are met, must be uploaded as an attachment. Main tasks Develop machine learning models to produce forest