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controls, using deep learning and explainable AI Communicate and discuss results with stakeholders to integrate the findings into water management practices Interpret, publish and present findings in peer
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+ transients, voltage, contraction). To integrate our findings and generate new predictions and hypotheses, we aim to use multimodal deep learning and new systems analysis frameworks. Research area The
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computational (deep-learning AI models) approaches to dissect cell-death signaling, with ultimate goals to identify novel therapeutic targets and approaches. The PI, Dr. Gong has been highly regarded in his
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strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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to explore new analysis methods using deep learning. Depending on the interest, it is also possible to be involved in the wet lab. Professor Tiwari also leads the Center for Integrated Multiomics in Precision
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are pioneering discoveries across diseases that have the deepest impact on our community. THE OPPORTUNITY We’re seeking a highly accomplished Senior Postdoctoral Researcher (3-year position) with deep expertise in
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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cellular processes efficiently. This project aims at understanding the formation and functioning of aggregate-forming Archaea-Bacteria partnerships. The project involves working with syntrophic deep-sea