19 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "DIFFER" positions at SciLifeLab
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application! Work assignments We are seeking a Senior Associate Professor in Medical Data Analytics. This position offers significant responsibility within one of Sweden’s key infrastructures for data-driven
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Bioinformatician: Data Science lead The Department of Biochemistry and Biophysics. SciLifeLab (SciLifeLab ) is a national center for molecular biosciences with focus on health and environmental
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molecular biology, comprising millions of images and extensive molecular measurements. All data are released openly and widely used by researchers worldwide. The Alpha Cell program is recruiting a
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one or more courses at the department each year. You can find more information about us on the Department of Information Technology website . The project will be led by Professor Nataša Sladoje , within
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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 you be part of
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quality standards and contributing as part of a collaborative infrastructure team. Information about the division/project Chalmers Mass Spectrometry Infrastructure (CMSI) is part of the Division
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advanced AI and bioinformatics approaches to large-scale single-cell and multi-omics datasets. The project will focus on integrating these data to investigate cellular and tissue-specific signalling
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different professional and cultural backgrounds. The doctoral project aims to develop next generation minimally invasive sampling technologies for neuro biomarkers. The work includes developing the technical
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of pancreatic cancer. This group is led by Associate Senior Lecturer Dr. Qiaoli Wang, as part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) . Group members are enrolled in
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, DNA–protein conjugation, cell culture, high-throughput sequencing and bioinformatics. During the doctoral education the student will design and run experiments, analyse and interpret data. We value