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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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for methodological development in the project centres around demonstrating the feasibility of the use-cases with minimal data-sharing and via methods that concentrate on anonymisation, federated learning, and data
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uncooperative spacecraft . Develop novel methods for characterization and quantification of input-output bounds in an AI-augmented perception system: Develop novel methodologies and tools for characterizing and
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representatives using state-of-the-art in vitro , in vivo and in silico methods, and explore the potential of these proteins as novel targets for antibacterial therapy. These analyses will pave the way to a
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candidate will possess excellent research, communication, organizational and leadership skills, including detailed recordkeeping, computer literacy, scientific writing and the ability to contribute to method
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develop the foundational and scalable tools, technology and methods needed to synthesise large sections of human genomes/chromosomes. Through programmable synthesis of genetic material the aim is to unlock
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degree) in cell and molecular biology, cancer biology, biochemistry, or a related field Broad expertise in cell and molecular biology methods and the ability to master new techniques and approaches
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We invite applications for a NIH-funded postdoctoral researcher position in our computational lab at UMass Chan Medical School. We develop methods to reconstruct multi-modal, condition-dependent
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structure-based methods to identify novel small-molecule therapeutics. Tackling this challenge is critical for enabling more precise and efficient discovery efforts against complex biological targets
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. According to the development of the project, there may be a chance to learn other methods of interest, including cell biology and structure determination. We will provide all relevant training in unfamiliar