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North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia. The modelling will
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
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analytical foundations of a liner shipping model, undertake preliminary analysis, and support the translation of the work into a coherent, competitive research proposal aligned with UKRI and broader
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North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia. The modelling will
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North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia. The modelling will
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activities will likely include, but are not limited to: Use of large language models and AI techniques to support data collection, synthesis, analysis, and construction of a modeling platform for key resource
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applications for research in larval zebrafishg neuroscience. The general goal of our laboratory is the development of the larval zebrafish as a model system for the comprehensive identification and examination
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Systems Modeler & Remote Sensing Specialist) Job Class Code HA02 A/B/C, HA03 A/B/C Appointment Status Full-time Part-time FTE Limited Term Yes Limited Term Length 1 year; continuation contingent upon
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impactful, application-driven research. This position supports a strategic research project on full electric harbour craft microgrid modelling, onboard energy management systems (EMS), and hardware-in
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internationally outstanding research in the life sciences. Project description We seek two highly motivated postdoctoral researchers to develop new mathematical and computational methods for modeling developmental