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Field
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Ability to acquire new skills beyond current expertise to achieve project objectives. In-depth theoretical and practical knowledge in engineering or cell biology. Ability to work independently and
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, correct batch effects, and preserve biologically meaningful signals. Clinical contextualization: acquire a deep understanding of breast‑cancer pathology and treatment pathways to evaluate how integrated
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. You'll be part of the Tactile Machines Lab, which is a dynamic, interdisciplinary group of researcher bringing together expertise in robotics, sensing, machine learning, biomechanics, and haptics
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, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We combine ophthalmological, neuroimaging and behavioral data, and incorporate deep learning methods
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of machine learning (including deep learning) algorithms to predict links between gene clusters and metabolites, and to predict antimicrobial activities associated with these Collaboration with international
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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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-based architectures, and deployment frameworks for machine learning algorithms. Experience in Deep Learning techniques and solutions used in commercial software development. A track record of publications
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directions, to comprehensively read literature, to establish appropriate experimental systems, to learn important technologies, and to execute experiments to advance the project and perform data analyses. 2
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Python, including use of scientific libraries (e.g., NumPy, SciPy, scikit-image, PyTorch/TensorFlow). Experience with deep learning or machine learning approaches to image denoising and reconstruction
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an outstanding research track record and extensive expertise in cancer bioinformatics, cancer biology, cancer immunology, deep learning models and/or artificial intelligence, as well as hands-on experience with