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machine learning methods to investigate how ecosystem water stress and drought disturbances affect relevant forest ecosystem functioning at various scales. It will enable advanced assessment of forest
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provide a creative, nurturing campus environment where our students can become the best individuals possible, learn from the best and brightest faculty, and make a positive difference in the community
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the game as an informal learning site for ideas about societal issues. This includes ideas about race and ethnicity, given the racial/ethnic diversity of the digital players in the game. EA FC assigns
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the Section for Aquaculture, located at our campus in Hirtshals in the beautiful Northern part of Denmark. The section is a vibrant international group that holds a strong expertise in the different aspects
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adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
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response with fMRI in the context of different cognitive paradigms. What you’ll be doing Conducting data collection and analysis Writing of scientific papers; Presenting your findings; Teaching at Bachelor’s
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early differences in learning predict language and social skills later. Insights from this project can provide knowledge for early interventions to foster learning in infancy, with potential to support
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orders. Using 3D field recordings and environmental monitoring, you will uncover how different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the
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differences in ecologically and economically relevant life history traits are regulated at the molecular level. Variation in a key Atlantic salmon life history trait, maturity age, is strongly influenced by
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are produced, the molecular mechanisms by which they have achieved their improvements will be investigated. These insights will form a key part of the ‘build, test, learn’ cycle to accelerate the development