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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge of interpretability methods to ensure ML outputs are meaningful in scientific
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complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be
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). The team focuses on the communication networks between cancer cells and stromal components, aiming to uncover how these interactions contribute to therapy resistance, metabolic adaptation, and cancer cell
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About the Role We are looking for a motivated and hard-working person to develop a very exciting project in the contest of the Barts Metabolism Network (QMUL) and the growing metabolism hub
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nucleation and organisation in order to generate specialised microtubule arrays, such as the mitotic spindle or the polarised microtubule networks within neurons. We focus on gamma-tubulin ring complexes (g
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About the Role We are looking for a motivated and hard-working person to develop a very exciting project in the contest of the Barts Metabolism Network (QMUL) and the growing metabolism hub
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. The position will focus on answering questions related to the biological impact of environmental exposures on health outcomes and the candidate will be expected to analyze complex epidemiologic datasets and
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tailored for operations research problems. This role focuses on making significant contributions to understanding optimization and simulation models, particularly in scheduling, routing, and network flow
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implement innovative solutions. He/she will contribute to the development of novel concepts and proposal writing, while efficiently addressing complex challenges. Responsibilities will include writing reports
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part of a larger EU project entitled “FEDORA - Federation of network optimization services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient multimodal traffic