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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will
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have prior experience with experimental molecular biology techniques, tissue processing and imaging. You also have strong technical and analytical skills. Previous experience with disease models, cells
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is on fundamental limits, and development of algorithms and methods. Applications can be found in, for example, signal, image and video processing for autonomous vehicles and swarms of drones; massive
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quantification. The specific project will be tailored to your expertise and interests; examples include: Efficient inference techniques for high-dimensional Bayesian inverse problems for image reconstruction and
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. Experience with the following methods/techniques is also considered valuable: Isolation of immune cells from tissues and blood Tissue staining and imaging using confocal microscopy and image analysis Molecular
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of English. It is an advantage if you have: Experience of working with large text or image materials, for example organising digital archives, curating public databases, structuring and quality-assuring large
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must also have proficiency in single cell electrophysiology and high throughput calcium imaging using genetically encoded calcium indicators (GECI). In addition, the applicant must have experience in
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innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will enhance