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complete picture of fish habitat use and connectivity. The PhD is part of the section for Ecosystem based Marine Management and the Marine Habitats research group, as well as several synergistic initiatives
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to remove PFAS from water sources used for drinking. Part of the planning process involves evaluating operational aspects of these treatment processes such as contact time, media type and regeneration
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of desired secondary structures. Experimental validation of the established AI model is also expected to be a part of this project. Specifically, your tasks will be: Running numerical simulations to generate
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(part time, 65%, 26 weekly working hours) We are seeking a highly qualified and motivated Research Assistant (f/m/d) to contribute to a research project focused on the neuroanatomy and eco-morphological
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the Phytophotonics department, you will work as part of an interdisciplinary team at the interface between plant sciences and optical technologies. The focus is on various spectroscopic and imaging methods
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impact in translational fields, which often aim to use generative AI in a responsible way. This PhD project is part of a larger cohort of projects in the Monash AI Institute, a recently expanded program
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to researchers in spoken (communications) and written (research papers) forms. Good knowledge of written and spoken English. Ability to work independently and to collaborate with other researchers and as part of a
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as part of a team as well as independently. Plan and manage day-to-day activity within the framework of the agreed project. For example, create and maintain a work plan, meet agreed schedules
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teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing. Hourly Salary: $25.00 Hours per Week: 10 (Part time) Location
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models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length