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at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems. The PhD researcher will be
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computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy
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the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is
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this selection procedure, one (1) position equivalent to that of PhD Researcher is open in the area of Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing. The work
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models of endometrial and ovarian cancer and multidisciplinary approaches ranging from molecular biology and biochemistry to multiplexed kinetic live cell imaging and next-generation sequencing. Applicants
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successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies. About you If
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, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how
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open questions; devise creative solutions; deliver concise, rigorous prototype implementations; and clearly articulate this process in discussions, presentations, and formal reports. Recent examples
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for biomaterial testing. Hands-on experience with immunohistochemistry or fluorescence imaging for tissue analysis. Selection process for the position: The application must include the following: CV in English
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chronic in vivo multiphoton imaging of mouse visual cortex, including stereotaxic surgery, chronic cranial window preparation, AAV-mediated GCaMP expression, and longitudinal multi-week imaging schedules