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the team, is required. We are looking for a competent, proactive personality with commitment and motivation, the ability to work independently, and enjoyment of teaching. As part of the application process
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
, postdoctoral research, or industrial experience Experience in the modeling of multiphase systems is desirable Experience with flowsheet process simulators (e.g., Aspen, UniSim, HYSYS, gPROMS, Aveva) and modeling
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Apply now Job no:502120 Work type:Full time Location:Hobart Categories:Administration Manage a complex and confidential workload with sound judgement, discretion, and autonomy in a dynamic, high
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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Development and application of new methods for studying allosteric regulation in chaperone complexes
will focus on the theoretical study, development, and optimization of theoretical and applied approaches for the extraction of dynamic determinants fundamental to the function of complex systems and the
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Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof
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the modelling, simulation and analysis of the large, complex and dynamic systems (e.g. cyber and physical systems). The PhD student will join the Sheffield Control and Power Systems (CAPS) Laboratory (https
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systems. The role designs and delivers impactful training that improves efficiency, manages risk and supports compliance, working closely with process owners and change teams to embed best practice across
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healthier for everyone in our community! Clinic Background This position is based in a hospital‑based outpatient neurologic rehabilitation clinic with a strong focus on complex, specialty care. The clinic
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and parameter estimation, Uncertainty quantification and model calibration, Mathematical modelling of biological or physical systems, Machine learning and deep learning theory, Spatio-temporal and