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Technologist is expected to maintain up-to-date specialist knowledge of new and innovative methodology, equipment, technology, data management and analysis. The role will work closely with management in
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to manage the people-side of this change, ensuring successful adoption of new processes and technology. You will be responsible for planning, implementing, and managing the change strategy for the current two
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, leading research projects in emulsion technology. The ideal candidate will have a strong background in physical chemistry, colloid science, or a related field, with expertise in emulsion and microemulsion
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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think
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skilled researcher who brings: A PhD in Computational Neuroscience, Physics, Engineering, Computer Science, Psychology, or a related discipline Strong quantitative and programming skills (preferably MATLAB
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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to vital organs caused by disease, injury, or genetic conditions. The Institute operates within a highly collaborative ecosystem, engaging with Monash Institute for Medical Engineering (MIME), the Biomedical
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Network encryptor application. Targeted applications include agile high throughput network encryptors, code-signing engines, or key management modules. The outcomes of the project will be applied in novel
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Transactions on Knowledge and Data Engineering 2016;28(7). Laitila P, Virtanen K. On Theoretical Principle and Practical Applicability of Ranked Nodes Method for Constructing Conditional Probability Tables
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in an innovative and interdisciplinary approach. A background in science and engineering or social science and policy analysis is desirable. Experience with systems modelling (e.g. system dynamics