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experience in these areas. Personal qualities such as collaboration, communication, strong drive and motivation, critical thinking abilities, creativity and analytical skills are essential. You should be able
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ambitious research group that focuses on genetic, molecular, and functional analyses of B cell and antibody responses. Your work will involve laboratory-based research, extensive data analysis, and project
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, capable of critical thinking, and willing to collaborate with other members in a team. Application A complete application should include: A cover letter summarizing your qualifications, your scientific
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injection, organ/blood collection etc.) Proficiency in Python or R for bioinformatic analysis Strong scientific communication skills in English, both oral and written Meritorious for the position: Experience
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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purification and characterization of membrane proteins is strongly desirable. Previous experience of biophysical analysis techniques such as ITC, QCMD as well as cryo electron microscopy is highly valuable
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experiments, molecular cloning, cell culture, and standard laboratory methods such as flow cytometry and RT-qPCR. The computational work includes, for example, the analysis of omics data and computational
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
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activities aimed at developing and using biomarker analysis in blood samples for next generation cancer diagnostics. The work will also include studies in basic tumor biology, where we use various in vitro
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motor behavior analysis. Technical experience with imaging, molecular biology, immunohistochemistry, in situ hybridization are also highly valued. Technical experience with embryo electroporation and /or