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(including mental health practitioners and teachers). You will contribute to the design or research materials and gather and analyse and present qualitative and quantitative data. You will promote public
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/experimental design and analysis of complex research data. Advanced knowledge of preclinical (in vitro and/or in vivo) validation. Excellent inter-personal skills with an ability to work co-operatively in a
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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will support with the creation of a Community of Impact Practice which will bring together community organisations, schools, health providers, and lived experience experts to co-design tools that help
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for chronic fuel cell monitoring in vivo including common electrochemical characterization methods. • Design and manufacture an micromachined interface between the fuel cell and the implantable
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activities promoting research impact. contribute to the design, development, and implementation of robotic and AI systems within the scope of the project. collaborate closely with industrial and academic
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based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience
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of the continuum equations governing the mechanics of fluids and soft solids. Ability to design theoretical models and carry out appropriate analytical calculations to achieve the proposed objectives. Experience in
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. You will work with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, PhD in Biology or a related
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records of experimental work and findings. You will take initiatives in the planning of research; conduct and plan own scientific work with appropriate supervision and present findings to colleagues within