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such as Imaris or similar) is required. Experience with proximity ligation assays and CRISPR/Cas9 is highly desirable. Experience with single-cell RNA sequencing and downstream data analysis is highly
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into the models, integrate quenching sequence in modelling, conduct industrial experiments, and demonstrate validity through use-cases in the project. The foci of the research work include practical experiments
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together researchers and clinicians at NTNU and St. Olav´s University Hospital and do clinical, translational and basic research on the cancer Multiple Myeloma, an incurable blood cancer arising in plasma
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/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries
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/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries
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beneath solar panels. Analyse the technical and economic potential of agrivoltaics, including land use and business models. Study implications for mechanization, harvesting practices, and alignment with
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harnessed to kill breast cancer cells. Breast cancer is the most common form of cancer in women and novel therapies are needed to improve disease outcomes. We will sequence RNA from a cohort of more than 300
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organization and management, with a focus on the significance of digitalization and datafication for organizations. The topic of the dissertation should align with the research interests of the Organization and
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the Head of Department. About the project Multiple myeloma is a cancer characterized by the hyperproliferation of antibody-producing cells in the bone marrow. Despite recent advances in treatments and
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semantic interoperability Explainable and trustworthy AI aligned with European regulations The PhD candidate will contribute to modelling, system validation, and scientific dissemination within the project