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, efficiency, parameterisation, uncertainty quantification, and/or surrogate modelling. The research may involve the use of observational, experimental, or high-fidelity numerical data to train, validate, and
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this work for publication, public dissemination and future grant applications. You will have the opportunity to use your initiative and creativity to identify areas for research, develop research methods and
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Nord University, we develop future solutions through education, research, and collaboration with the society around us. Together, we shape the future with roots in the North and our eyes on what lies
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. Applications are invited for a Research Fellow to work on a
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develop and maintain position history, templates, and documentation. Track-Specific Responsibilities (Applicants will focus primarily on one) Track A: Research, Narrative & Communications Conduct deep
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checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence
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of materials with synthetic motion. The successful applicant will be expected to work with Professor Riccardo Sapienza in London and our experimental collaborators to develop experiments in the field
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of multi-modal datasets, including MRI/fMRI, behavioural and audio data Develop reproducible statistical and machine learning analysis pipelines Support grant writing, ethics submissions and project
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-based analysis of maritime decarbonization pathways, compliance strategies, and regulatory impacts. Develop analytical and modelling frameworks to assess compliance costs, fuel/fleet transition and
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University) and theory partners (TU Darmstadt, Palacký University). Main work tasks may include (depending on profile and project needs): Develop ML-assisted Hamiltonian discovery/engineering methods