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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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advanced methods for applying large-scale Danish data. You will work across interdisciplinary projects that investigate how genetic, familial, socioeconomic, and environmental factors shape mental health
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fields such as engineering, economics, psychology, data science, computer science, mathematics, and statistics. We deliver ground-breaking fundamental research as well as research-based insights and tools
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to experimentally derived disorder models and data from methods such as total scattering/pair distribution function analysis, diffuse scattering, diffraction, solid-state NMR and electron microscopy. Work closely
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framework of the project. Depending on the research question, possible methods could include qualitative fieldwork, interviews, case studies, surveys, experiments, or other relevant forms of data collection
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studies, including experimental planning, data acquisition in collaboration with imaging colleagues, quantitative analysis and integration with behavioural findings. Perform and develop molecular and tissue
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diagnostic expertise to more healthcare institutions maximize the utility of collected radiological data One of the major barriers to achieving this, is figuring out how to learn useful patterns in the data
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Tenure Track Assistant Professors in Theory and Freestanding Oxide Membranes for Energy Applications
for advancements in the emerging fields of ionotronics and twistronics. The candidate in the theoretical position will advance algorithms and computer simulations within the Section for Atomic Scale Materials
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tasks, including: Collecting information from NordStruct partners Helping to coordinate travel and accommodation for international speakers Helping to coordinate catering and venue bookings for events
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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded