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Field
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of Veterinary Pathology seeks a highly motivated Postdoctoral Researcher to advance research through the integration of 3D organoid models and multi-omics data analysis. This position will leverage genomic
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of resistance to targeting therapies (antibodies, and antibody-drug conjugates) integrating clinical data, 3D cancer cell models, high-throughput approaches and co-culture systems. The successful candidate will
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of scientists focussing on understanding the role of smooth muscle cells in vascular calcification. This role involves the development of an engineered 3D flow system for understanding how mechanical signals
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into clinically deployable diagnostic and prognostic tools. The successful candidate will contribute to the development of a spatially resolved 3D atlas of the bone marrow, advancing precision diagnostics in blood
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mechanics and propulsion, for which the AEROSQIN project constitutes a perfect framework. The candidate will advance techniques for large-scale 3D particle tracking by merging measurement theory and practice
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these processes. The successful candidate will work with animal models and clinical samples and will apply a range of cutting-edge techniques, including flow cytometry, 3D microscopy and transcriptomic analyses
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-technical audiences We are seeking a highly motivated postdoctoral researcher to work on 3D Vision-Language-Action (VLA) models for robotics and embodied AI. The position will focus on developing new methods
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. The candidate will work closely with computational modeling collaborators to validate reactor designs and optimize operating parameters. The candidate will be expected to contribute to report preparation
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for large-scale 3D particle tracking by merging measurement theory and practice with flow modelling for applications in industrial wind tunnels for the aerospace sector and oversee the application of helium
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leukemia using primary human samples, cell lines, and mouse models. Responsibilities will be to design, perform, and analyze data from genomic assays including long read sequencing using the Oxford Nanopore