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Field
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relevant background in information extraction, entity resolution/entity linking, machine learning, uncertainty modelling, explainable AI, or a closely related area, with a PhD (or near completion) in
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ICT Services & Applications. Your role The position holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices for machine
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EXPERIENCE in: Scientific/Academic writing Research methodology (Quant or Mixed Methods) Experience with statistical software (e.g., R, Mplus, SPSS, etc.) Credentials must be obtained prior to the start date
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. The department is responsible for ensuring that the plan is followed up and that the PhD fellow has access to career guidance throughout the duration of the fellowship. Qualification requirements Formal
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software components; Publish research results in high-quality international journals and conferences; Collaborate with researchers, a PhD candidate working on polyvocal knowledge representation, curators
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developing generic tools that take a declarative problem description and automatically compute an optimal solution to it. Often, users specify their problem in a high-level, human-understandable formal
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methods for study design, data management, analysis and reporting – including experience in epidemiology, biostatistics or health economics methods; Experience in research software (eg Stata, SPSS, nViVO
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administration, comparative politics, political theory, and research methods. The department offers a vibrant academic environment with a good mix of permanent staff, postdoctoral and PhD fellows. Around 1,400
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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. The role You will contribute to the design and implementation of the ABLE platform, including software development, possibly some hardware prototyping, and evaluation with users. A key focus will be