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or molecular biology with a basic knowledge of mitochondrial biology. Previous experience in cell culture, imaging and CRISPR screening in mammalian cells is a strong advantage. Experience with
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. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated postdoctoral fellow to develop cutting-edge methodologies in computer vision and AI to power whole slide image
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targeting neuroreceptors and neuroimmune pathways. The successful candidate will employ a combination of in vitro tissue assays and in vivo imaging techniques to characterize the pharmacological properties
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through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name -- RICE -- Responsibility, Integrity, Community and Excellence. Position
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experience in microbial and cell culture, experience in cell imaging techniques and the ability to present work with clarity and to a wide range of audiences. Further information is available in the role
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as a model organism complemented by in vitro biochemical systems. The insights gained from this well-controlled model will provide a foundation for understanding analogous processes in more complex
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the prototyping of sensor devices and contribute to the optimization of fabrication processes. Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers. Assist or produce high
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responsible for data/image acquisition, analysis and interpretation and for using this information to design efficient heterogeneous photocatalytic processes. This will involve working on the synthesis and
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biology with closely allied clinical programs in Medicine and Surgery to improve the diagnosis and treatment of cardiovascular disorders. Qualifications and Responsibilities Experience in immunology
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to enable the development of new algorithms for clinical AI based on patient data from heterogeneous sources notably language/speech-based sources. The activity will focus on the development of a prototype