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Field
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and complexity
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, purification of protein complexes, analysis of protein-protein interactions including electron microscopy, and cellular biology techniques to examine the effects of bacterial membrane vesicles in primary immune
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responsible for the project Design, synthesis, and characterization of complex organic molecules which play a pivotal role in DNP, Employ advanced NMR/MRI methods for structural analysis and DNP-related studies
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learning techniques to address complex biological questions with significant societal impact. The position offers the opportunity to contribute to groundbreaking research that will advance our understanding
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Australian National University | Canberra, Australian Capital Territory | Australia | about 15 hours ago
university Advance transdisciplinary scholarship through research, collaboration and high-impact practice Engage with regional communities in the development of community-led flood intelligence networks
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Job Description Job Alerts Link Apply now Job Title: Research Associate/Fellow/Senior RF - Net Zero Healthcare Delivery Posting Start Date: 15/07/2025 Job Description: Job Description Climate change
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-relevant media, in the application of quantum information driven tools, such as tensor networks or convex relaxations, to the study of complex quantum systems Excellent command of English, both written and
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where