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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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the view of physics aiming for identifying principles behind complex systems. We collaborates closely with engineers, immunologists, and clinical microbiologists on campus. Within this project we will
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to self-organize into complex structures. Our approach is to develop sophisticated mathematical models – informed by state-of-the-art biological knowledge and experimental data – to understand
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
experience with QA/QC of chemical analyses, be comfortable with method development in a trace level laboratory including method validation requirements, be familiar with PFAS complexity as a major pollution
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the following criteria: a Ph.D. or M.D./Ph.D. in computational biology, or in biomedical sciences with a strong computational focus; proven ability to think creatively and solve complex problems with
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are seeking a motivated and enthusiastic colleague with strong computational skills in the analyses of complex data sets to join our teams. About the project We have generated advanced brain on chip models
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pores, and phase boundaries establish localized environments that concentrate activity, enhance specificity, and scaffold complex regulation. These interfaces don't just divide—they integrate: shaping
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program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project
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Synthetic Biology, Molecular Plant Pathology, Comparative Genomics, Transposon Biology, Cell biology, or Related Field High level analytical capability Ability to communicate complex information clearly
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of Medical Research. The laboratory specialises in single-cell RNA sequencing, spatial transcriptomics and computational pipelines applied to patient biospecimens to understand the complexity of intestinal