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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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Computational Neurogenomics / AI - Postdoctoral Associate Yale School of Medicine | Adams Center for Parkinson’s Disease Research | New Haven, USA Join a mission-driven team at Yale to build a
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variety of in vivo techniques to investigate stem cell behavior in homeostasis, clonal expansions and tumorigenesis. We are looking for a highly motivated and independent postdoc to join an ERC-funded
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, continuous measurements of cell health during exposure to therapeutic drugs and other chemicals. To enable such applications, we combine photolithographic techniques, electrochemical/impedance spectroscopy
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for a highly motivated postdoctoral research fellow who is equally adept at applying wet lab-based experimental approaches and high-dimensional computational analyses to study disseminated tumor cell
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work at the interface between computational spatial omics, single-cell mass spectrometry (MS)-based proteomics, multiplex imaging, and bioinformatics. We have recently co-developed Deep Visual Proteomics
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models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research
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involved in cell decision-making, the driving forces at the origin of life starting from inanimate molecules and the physics of active matter. Our institute offers an excellent research environment due
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research group to study novel aspects of immunometabolism, tumor-immune cell interactions at the primary tumor and systemic sites in pancreatic cancer. Our state-of-the art research program utilizes
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extensive experimental enhancer characterization. Our goal is to reveal transcriptional mechanisms underlying cell-type–specific regulatory signals and to pinpoint disease-causal noncoding mutations