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benchmarking and comparative evaluation of gene perturbation models across diverse single-cell datasetsCollaborate closely with Helical-AI on scaling, optimization, and integration of the developed models within
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine
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communications; iv) System-level design and optimization. The related domains and topics for each of these research areas that we would like to attract excellent researchers to work on are the following: Radio
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biomedical and biological data, including developing and optimizing models to predict disease progression and create realistic patient profiles; Building and optimizing pipelines for pre-processing and
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(Numerical Analysis and Applied Mathematics) develops numerical algorithms and software for large-scale problems in science and engineering. Its research ranges from algorithm design and analysis to software
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testing of concrete structures Good Knowledge of data science, e.g. optimization, machine learning, and structural sensing technologies Openness to interdisciplinary research and commitment to teamwork
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at the frontline of the rapid developing field of spatial omics. Opportunities for professional development and career advancement. A collaborative work environment with numerous partners. Access to state-of-the-art