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and analysis of single-particle PL data: including exciton lifetimes, blinking statistics, and autocorrelation functions (g(2)). The position combines hands-on experimental work with substantial data
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 27 days ago
unique environment that combines the best aspects of an academic setting and a research laboratory. The MPIDR is an equal opportunities employer. Respect and inclusivity are central to our work culture
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and biomedical engineering. The Automatic Control division conducts research and education in the analysis and control of dynamic systems. Our work combines fundamental control theory with applications
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. Required Qualifications: A doctoral degree in a biological or health sciences discipline, or an equivalent combination of education and experience, is required. Desired Qualifications: Strong preference will
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Position Summary The Schwartz lab studies the role of the gut microbiome and immune response in susceptibility to neonatal sepsis. We use a combination of sequencing, microbial culturing, immune
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pay determined by experience level at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26
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metals (Ni, Co, Fe) combined with tailored ligands (diphosphines, N-heterocyclic carbenes, etc.). The postdoctoral researcher will investigate inter- and intramolecular transformations involving atom
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rearrangements, and cell death. Are you passionate about understanding how cells maintain the genome and do you have a desire to use cutting-edge high-throughput methods in combination with the use of fluorescence
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resources (super-resolution microscopy, nanosensors, microfluidics, etc.), combined with systematic multimodal and multiscale exploration supported by AI-driven analysis. These innovative methodologies
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year’s budget, have led to inequality in access to care. Using a combination of unique survey and register data (from 2018 to 2023) and econometric analyses, the project will uncover heterogeneity in GPs