11 evolution "https:" "https:" "https:" "https:" "https:" "https:" positions at Radboud University Medical Center (Radboudumc) in Netherlands
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stakeholder Round Table meetings with Ministries of Health, clinicians, public health professionals and other key actors on the CAS islands. Supporting the development of island-specific implementation roadmaps
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for an enthusiastic and motivated technician to contribute to the development
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bioinformatic analyses on honeybee resilience to infection. For this project, we are looking for an enthusiastic postdoc to perform bioinformatic analyses of the (development of the) immune response of bees
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metabolite features (MS/MS fragmentation data, ion mobility data). Performing sample preparation, quality control, and data acquisition. Contributing to infrastructure development (LIMS, data linking
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our department, especially treatable diseases (e.g., treatIMD). Collaborating with the computational metabolomics/bioinformatics team and contributing to the development of data analysis workflows
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metabolite features (MS/MS fragmentation data, ion mobility data). Performing sample preparation, quality control, and data acquisition. Contributing to infrastructure development (LIMS, data linking
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will include the development and application of targeted LC–mass spectrometry analyses of sugar metabolites. You will be responsible for designing, planning, and executing your own experiments, as
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planned studies. This includes protocol development, data management, statistical analysis, and dissemination of findings through conferences and scientific articles. This role offers a unique opportunity
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Description In this project, you will contribute to the development of a multimodal preclinical imaging platform, which you will then apply longitudinally to study skeletal muscle changes in a mouse model of
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for follow-up projects and career development. This position offers the opportunity to understand how blood biomarkers and brain imaging can predict and track the impact of lifestyle on Alzheimer’s disease