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, distributed algorithms, secure multiparty computation, and information theory. You are expected to speak and write in English at an academic level, and preferable also in Danish. Qualification requirements
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well as an OPM MEG setup (presently being established). Computer-controlled visual, auditory, olfactory and somatosensory stimulation as well as behavioural response monitoring and eye-tracking systems
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systems debugging knowledge of distributed computing technologies scientific software design scientific workflow tools Strong background in Linux systems Relevant programming skills (e.g., shell scripting
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of the effects of climate change, habitats and recovery, dynamics and distribution of stocks, interactions between species (such as prey and predators), recreational and commercial fisheries, and the integration
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quantitative analysis and modelling that integrates and handles various interdependent data such as technology characteristics, cost distributions and components, material choices, sizing of components and
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with special emphasis on impacts of climate and environmental factors on fish early life history, growth, reproduction, survival and distribution including invasive species. You will closely work with
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cases involve various degrees of image analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in
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, resulted in the EU adopting the “Action Plan for reducing incidental catches of seabirds in fishing gears”. To assess the magnitude and spatiotemporal distribution of bycatch in gillnet fisheries in Danish
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group and develop an innovative and impactful research program, which includes, but is not limited to, population and evolutionary genetics, metagenomics, eDNA-based monitoring, and phylogenomics
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an independent and competitive research program, to contribute to teaching and supervision at all levels of education, and to collaborate broadly with the existing scientific staff. You will be offered local