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to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
appropriate, development of reproducible computational workflows for processing and analyzing large genomic and immunologic datasets, visualization and communication of complex results to both computational and
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the simulation of turbulent flows using a tensor network representation of the Navier–Stokes equations. Unlike recent approaches based on tensor networks, which simulate fluid flows in physical space using finite
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University of Würzburg - NUCLEATE Excellence Cluster | Oettingen in Bayern, Bayern | Germany | about 2 months ago
The Cluster for Nucleic Acid Sciences and Technologies – NUCLEATE is a joint research network spanning the Ludwig-Maximilians-Universität München, the Technische Universität München, and the Julius
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development of clinical risk prediction tools. You should be confident working with large and complex datasets, using statistical programming languages such as R, Python, Stata or SAS, and have a strong
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on theoretical and computational aspects of quantum many-body systems, including Tensor Networks, Neural Quantum States, Stabilizer formalism, Complexity measures such as entanglement and quantum magic, quantum
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
. Building upon this discovery, the SONATA Bis project seeks to define the molecular mechanisms by which RAI2-induced CtBP polymerization remodels transcriptional corepressor complexes, reorganizes chromatin
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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modelling, geospatial data science, generative modelling, mobility data analysis, or transport simulation, especially when combined with knowledge of complex systems, network science, resilience theory, urban
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of two years. About the Project The successful candidate will advance the algorithmic and theoretical foundations of reinforcement learning applied to complex, high-dimensional dynamical systems