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Field
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demonstrate good collaborative skills. Applicants must be proficient in both written and oral English. Experience from one or several of the following areas is an advantage: Programming, image processing and
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, subcutaneous, intraperitoneal, and intra-cardiac injections of cells to generate tumor models, bioluminescence Imaging, and animal necropsy. Other wet-lab techniques or assays maybe involved depending on how
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that come in touch with human skin can serve as vehicles for transport of diseases and their spread throughout human communities. This infection process can be mitigated by surfaces on which microbes cannot
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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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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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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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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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perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease. You will join a highly collaborative
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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