321 structures "https:" "https:" "https:" "https:" "https:" "The University of Manchester" Fellowship research jobs in Norway
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research infrastructure, hosted at the USIT TSD service (https://www.uio.no/english/services/it/research/sensitive-data/index.html). The main purpose of the fellowship is to qualify researchers for work in
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structures for efficient CO2-capture and storage. The postdoc will use atomistic modelling with both force field and ab initio methods to study various systems of surface adsorbed aromatic macrocycles or also
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leader will be Professor Jonathan Robert Whitlock (read more about the group at: https://www.whitlocklab.org/). About the project The successful candidate will perform large-scale neural recordings in
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registries on family structure, residence, schools, health, and education. The postdoctoral fellow will be working with GeoGen Team members from Psychology, Economics, Sociology, and Educational Sciences
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learning based methods. strategic portfolio management and dependency structure modelling for financial assets. effects of climate change and increased uncertainty in life and non-life insurance modelling
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techniques for global and regional seismology. Travel time tomography, on regional and global scale, has been one of the main tools in determining the Earth’s velocity structure. Among other things, travel
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relevant activities at SINTEF Ocean. Duties of the position Carry out research of good quality Academic publications and popular science dissemination Participate in the research group Marine Structures
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ability to participate in research communities across organisational units ability to work independently, in a structured and goal-oriented manner proficiency in Norwegian or another Scandinavian language
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contexts by integrating genotyped family trios into population-based registries on family structure, residence, schools, health, and education. The postdoctoral fellow will be working with GeoGen Team
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and cohort data to investigate how social structures interact with individual and family-level risk factors to influence life-course trajectories. Within this framework, the successful candidate will