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approaches, cell culture, mammary tumour models, immunophenotyping and single cell RNA sequencing. We are interested in qualified and highly motivated applicants and offer competence development within cancer
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the topic and the methods in the PhD project are aligned with relevant research on collaborative learning and practice, and theoretical perspectives that allow interpretation of collaboration in context
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projects that align with the department’s supervisory capacity. Applicants are expected to demonstrate through their application letter and project proposal how they will contribute to the development
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, organisations and politics. The call is not thematically limited to these topics, but preference can be given to candidates with projects that align with the department’s supervisory capacity. Applicants
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implementation plan for the stud. It is important that the topic and the methods in the PhD project are aligned with relevant research on collaborative learning and practice, and theoretical perspectives
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of Informatics, Uni-versity of Oslo, and will be part of a growing research agenda at the intersection of epidemiology, statistical modeling, machine learning and public health data systems. The project aligns
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effects between the gut microbiome and drugs, and the impact on drug dosing. Relevant methods include pharmacokinetic investigations in patients, shotgun sequencing, bioinformatics, HPLC-MS analysis of drug
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of epidemiology, statistical modeling, machine learning and public health data systems. The project aligns with recent developments at the HISP Centre at UiO, which is expanding its long-standing DHIS2
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Jarli & Jordan / UiO We can offer you A unique research environment with multiple opportunities to develop research themes at the forefront of modern science A friendly, inclusive, and collaborative
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simulations of detector responses using the GEANT4 framework. The candidate will be strongly encouraged to actively participate in submitting additional experimental proposals that align with the objectives