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, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor evaluations
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project with the aim of: To optimize tools that perform a robust evaluation of radiation therapy plans and to optimize tools that allow the automation of the robust optimization procedure for the worst-case
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pharmacokinetics of IV melatonin in term neonates with HIE receiving therapeutic hypothermia to inform the optimal dose to be used in future efficacy studies. The Clinical Research Fellow will be involved in all
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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications
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laboratory experience in areas relevant to the project, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models
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research experience in a related field, specifically demonstrating a track record of combining electro- and photochemistry within automated platforms, utilizing analytical feedback to control and optimize
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, and quality-control patient-derived colorectal cancer organoids (PDOs), including expansion, organoid formation, and experimental scheduling. Set up and optimize vascularized organoid cultures. Execute
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). The project focuses on experimental design, optimization, and construction of entangled and/or squeezed states of light for a range of applications. The role also involves building and setting up various
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hypothermia to inform the optimal dose to be used in future efficacy studies. The Clinical Research Fellow will be involved in all aspects of the study, including recruitment, neurological assessment
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of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative