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research group in Neuroepidemiology which consists of clinicians, researchers, postdoctoral fellows and PhD students. We are an exciting group working at the intersection between immunology, epidemiology and
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likely to succeed. During several years, our group has been collecting large amounts of medical data to perform evaluations of AI systems for breast cancer detection and to inform clinical decisions. We
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around 70 employees, it has a strong focus on research with unique research resources, such as large-scale longitudinal studies and nationwide registries. The Division of Neurogeriatrics conducts
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. Excellent communication skills and fluent English. Additional merits: Experience in handling analyses of large data sets, e.g. RNA-seq, proteomic, metabolomics data, multiparameter flow cytometry data
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, perimenopausal depression, etc.) and potential health consequences leveraging large population-based cohorts with rich clinical and molecular data. Your mission We seek an outstanding and innovative postdoc
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at the Department share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb
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prediction mRNA boundaries at an unprecedented scale. The candidate will also use the generated information to quantify and predict how mRNA variations lead to divergent mRNA fates. The candidate will
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. Your profile PhD in cardiovascular science with experience in molecular biology, bioinformatics, morphology and experimental cell and animal models. A background in biotechnology/bioengineering as
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. The department has 12 research groups, about 110 PhD students and about 140 employees. In this interdisciplinary project, you will find a unique opportunity to work together with experienced researchers in
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research building with a large repertoire of researchers and access to state-of-the-art infrastructure and facilities. Our collaboration is at the intersection of chromatin biology, molecular immunology, and