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information here: https://ki.se/en/research/research-areas-centres-and-networks/research-groups/molecular-epidemiology-of-aging-sara-haggs-research-group A key strength of MEB is its strong collaborative
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(Salary) via the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year initiative aimed at recruiting and training the next
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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta
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medicine and diagnostics, epidemiology and biology of infection. For more information, please see: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will
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-driven analysis. The PhD student will be part of the DDLS Research School, a national program offering courses, workshops, and networking across Sweden. The project is conducted in collaboration with KTH
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for Molecular Medicine (WCMM fellows), within the network Program for Academic leaders in Life Science, PALS, see https://www.palsnetwork.se . Subject area The position targets outstanding applicants with
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infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique
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(Stockholm, Sweden) and the candidate will benefit from a strong (inter-)national network of collaborators in protease biology and computational proteomics. The successful candidate for this position will join
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applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb Do you want to contribute to top quality medical research? To be a doctoral
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molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research