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candidate to develop Machine Learning models and frameworks for time series analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level
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of hypothermia with important medical implications. To study this, the Ph.D. candidate will use mammalian cells, organoids, and animal models, and employ a range of approaches, including cell culture systems
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project will be part of the psychology work package which through longitudinal cohort studies with registry linkages and advanced causal modelling techniques will examine the causal relationship between HC
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including multiple and embodied AI agents. Countering the current trends of very large models with hard-to-control outputs, we will focus on balancing data-based approaches with artists’ knowledge and search
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, potentially including methods such as structural equation modelling Write at least 4 scientific articles as first author Communicate results in various national and international scientific journals and popular
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modelling, stochastic (partial) differential equations, filtering and control, computational methods for stochastics. Taking a view towards applications, the group is well involved in areas of economy and
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Model for Integration of Advanced Assistive Technologies (ROBOWELL )”, funded by NordForsk and Novo Nordic Foundation (grant agreement 226198). The project aims to develop a proposal for a Nordic Model
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English. Desired qualifications: High motivation for a research career, documented primarily via original publications in peer-reviewed scientific journals. Familiarity with Common Data Models (e.g. OMOP
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effort lies in understanding the workings of the energetic Sun. To attack this goal a concerted effort of numerical modelling, both fluid (extended MHD) and particle oriented, are combined with high
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molecular responses to whole-organism effects, we will combine targeted physiological measurements with multi-omics (proteomics, metabolomics, lipidomics) and phenotypic end-points. As our model system, we