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of their fellowship period within the duty component of 25 %. Place of work is Department of Informatics at Blindern, Oslo.. Project description The postdoctoral position is funded by the Department
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for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe mental and neuropsychiatric disorders
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measurements, biogeochemical rate modelling, high resolution 3D-imaging, isotope labelling and integrated geobiological data analysis. Analytical approaches implemented can include a multitude of advanced
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labelling and integrated geobiological data analysis. Analytical approaches implemented can include a multitude of advanced molecular, microscopically and geochemical techniques and protocols such as
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component corresponding to 30 ECTS, which corresponds to one semester. The remaining six months will be allocated to this formal training. Qualifications and personal qualities: The applicant must hold a
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be placed on compatibility of the applicant’s professional and personal disposition, with strengths in: Systematic approach Analysis and assessment Implementation Self-development Initiative and
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technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The PhD research fellow will be part of the HVL Robotics Lab , a research and innovation
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CO₂ emissions, and enhance resource efficiency. A DPP, serving as a core data element of the circular economy, is a publicly accessible record that provides information about a product’s lifecycle to
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data—into interpretable spatiotemporal risk models. A key methodological component could be the use of INLA for efficient inference in latent Gaussian models, and the candidate will contribute
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able to participate in the larger Cosmoglobe project (PI: Prof. Ingunn Wehus), including analysis of archival data such as AKARI and DIRBE, as well as ongoing projects (e.g., COMAP and PASIPHAE) and