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transcriptomics and microfluidic tissue processing. Develop protocols for volumetric molecular imaging, including expansion microscopy and multiplexed in situ hybridization workflows. Establish whole-mount and
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Cooperación Territorial Interreg VI-B Europa Suroccidental-Programa Interreg SUDOE (2021-2027)-Fondos Feder Where to apply Website https://sede.unizar.es/?app=touz&opcion=mostrar&id=72474 Requirements Research
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microfluidics - Ability to work rigorously, independently, and as part of a team - Knowledge of standard safety rules for handling and synthesizing chemicals Website for additional job details https
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DWI-Leibniz-Institute für Interaktive Materialien e.V. | Aachen, Nordrhein Westfalen | Germany | 23 days ago
via microfluidics and scale-up, 3D bioprinting, and cell culture. The successful candidate will work jointly with the Pich and De Laporte research group. Your tasks Biomaterial synthesis and
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elaboration of biocatalysis for synthesis. A doctoral position is available for 3-years to work with Professor Florian Hollfelder at the Biochemistry Department of Cambridge University (https
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at the University of Graz, Austria. About the Position: This role focuses on developing advanced single-molecule fluorescence and microfluidic approaches (confocal, TIRF, single-molecule FRET) for biophysics
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areas:Miniaturized optically pumped atomic magnetometers (OPMs) for ultra-low-field nuclear magnetic resonance (ZULF NMR) and magnetic resonance imaging (MRI); NMR MRI with a focus on MRI of microfluidic
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postdoc you will develop innovative microfluidic habitats that generate precisely controlled oxygen and nutrient dynamics for high-throughput microbial invasion assays and live-cell imaging. Working
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with a strong synthesis of molecular and cellular biology, single-cell physics, microfluidics and mathematics. From this joint point of view, it is very promising to treat a phenotype as a product of
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physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environments Design and implement reinforcement learning algorithms for control and