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should have a PhD degree in Biochemistry, Biomedical Science, Biological Sciences, Omics science, Microbiology or a related discipline and experience of applying mass spectrometry in human signalling
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attacks Develop and implement ML algorithms to identify vulnerabilities and predict potential threats in supply chain systems Prepare project deliverables and disseminate results through high-quality
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should have a PhD degree in Biochemistry, Biomedical Science, Biological Sciences, Omics science, Microbiology or a related discipline and experience of applying mass spectrometry in human signalling
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particle (SEP) events. The project is a joint collaboration of Algorithmics and Computational Intelligence research group at the Department of Computing and Space Research Laboratory at the Department
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complex sociotechnical systems Strategic learning and equilibrium-seeking algorithms in transportation networks Game-theoretic approaches to cybersecurity and security games Integration of human behavior
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours
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Education and Experience: PhD in Physics, Optics, or Photonics Required Knowledge, Skills, and Abilities: Strong publication skills Excellent scientific writing ability and good communication skills Knowledge
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU