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the use of both quantitative and qualitative research methods, the doctoral research fellow will have a main responsibility for planning, facilitation and implementation of physical activity for the elderly
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advanced machine learning methods, the goal is to create a diagnostic and early risk prediction tool that, if successful, could enhance the prevention, diagnosis, and treatment of female morbidity and
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methods, the goal is to create a diagnostic and early risk prediction tool that, if successful, could enhance the prevention, diagnosis, and treatment of female morbidity and mortality. About the LEAD AI
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an educational component including courses. This is the right position if you are highly motivated about fundamental science and excited about physics questions related to solid and fluid mechanics in a biological
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research projects will combine disciplinary expertise, with interdisciplinary elements, and integrating the use of computational methods. The main purpose of a postdoctoral fellowship is to provide
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that include an educational component including courses. This is the right position if you are highly motivated about fundamental science and excited about physics questions related to solid and fluid
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PhD programme comprises a training component corresponding to 30 ECTS. Qualifications and personal qualities The applicant must hold a Norwegian master's degree or an equivalent foreign degree in
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, Histology methods, Statistics. Prior experience with the following would also be considered positively: Lightsheet Microscopy, Immunofluorescence, In Situ Hybridization, Fish infection models, Nanoparticles
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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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diseases and disorders. By developing advanced machine learning methods, the goal is to create a diagnostic and early risk prediction tool that, if successful, could enhance the prevention, diagnosis, and