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Job Description A postdoctoral associate position in the area of organoid design and single-cell methodologies is available in the Department of Chemical Engineering, Virginia Tech (Blacksburg, VA
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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree in biological/medical sciences with experience in B and T cell immunology, or virology / microbiology and a proven
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, pharmacologic, genomics profiling (e.g. single-cell, spatial gene expression), datasets into rigorous mechanistic and preclinical studies, ultimately aimed at improving outcomes for children with cancer
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principles that govern antibody function in vivo. Our approaches combine in vivo and in vitro immunology and cell biology with biomechanical assays (e.g., shear force as a variable in antibody–Fc receptor
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approximately 40 minutes from a TGV high-speed train station and an airport. Employee benefits: mobility allowance and fixed contributions towards transportation and supplementary health insurance costs, access
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the experimental and bioinformatics analysis components—is essential. Proficiency in classical genomics techniques (RNA-seq, ChIP-seq, etc.) Proficiency in mouse ES cell culture and in vitro differentiation
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epigenetics of acute myeloid leukemia and has published articles in Cancer Cell, Cell, Leukemia, and the New England Journal of Medicine. The lab has extensive expertise in both bench science and bioinformatics
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. Multiple projects are available in the area of liquid biopsy, including work on circulating tumor DNA (ctDNA) and cell-free RNA (cfRNA). Projects can be bench-focused, computational, or a combination of both
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and materials systems that are difficult to study using conventional structural approaches. These systems range from intact bacterial cells, cell walls, biofilm extracellular matrices, and amyloid
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
-powered research agents for bioinformatics and bioengineering (Bock Lab , CeMM/MedUni Vienna) Building on our CellWhisperer method for chat-based exploration of single-cell data (Schaefer 2025 Nature