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Computational Modelling/advanced neuroimaging data processing skills/big data processing techniques. They should have a strong interest in experimental research and demonstrated scientific expertise and excellent
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. They will also be responsible for developing and integrating electronic circuits, camera modules, various sensors, and embedded control systems. Responsibilities include relevant modeling, simulation, and
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, transcriptomics data, Nanopore long read sequencing analysis and/or multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for
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analyses, multilevel modelling, data visualisation, and state-of-the-art statistical and epidemiological models would be an advantage. The appointees will be primarily responsible for applied and
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embedded control systems. Responsibilities include relevant modeling, simulation, and troubleshooting. The appointees will collaborate with software teams, ecology specialists, and biomedical experts
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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of responsibility and commitment. Preference will be given to those with previous research experience in virus-host interaction, influenza viruses and animal models. Eligibility to work in Biosafety
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with expertise in techniques relevant to single-particle analysis, protein modeling, and cryo-ET. Candidates should exhibit a strong command of written and spoken English, and effective communication
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advanced research in structural health monitoring, including hardware development. Perform numerical studies and model testing. Analyze and interpret data to provide recommendations for system design and
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or virology; and preferably with basic laboratory skills of animal studies (mouse models). The appointees will conduct research projects related to influenza virus, coronavirus, or Epstein-Barr virus under