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they must: Demonstrate a strong interest in the project and analysis of large amounts of data Demonstrate strong motivation for the project Demonstrate the ability to work independently and in a structured
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analyses of quantitative data Preferred qualifications Experience working with large and/or longitudinal datasets Experience with statistical programming (e.g. R or similar software) Experience with coding
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Register to other national health registries, providing an unprecedented, population-level life course perspective on the benefits and risks of hormonal contraceptives. By integrating big data and advanced
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occupy on the social and economic ladder. More specifically, we use the quickly increasing availability of large-scale genotype data across Europe, along with detailed register and survey data from several
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. The postdoctoral fellow will join a research group with potential access to large, administrative data sets therefore prior experience with big data and administrative data will be advantageous. via Unsplash
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experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development
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practice. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293131/20-position-as-researcher-at-european-palliative-care-research-centre-prc Where to apply Website https
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floating laboratories in the project. The research will involve processing and analyzing large volumes of operational data from onboard systems, including propulsion, navigation, environmental sensors, and
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in close collaboration with Sex og samfunn (https://sexogsamfunn.no/), Norway’s largest clinic for sexual and reproductive health. A cohort of about 3,000 HC users from the clinic will be followed
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and maintenance of open, community resources. Centre and group information: NCMBM (https://www.med.uio.no/ncmbm/english/ ); Computational Biology & Gene Regulation group (https://mathelierlab.com