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Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
, collaborative and inclusive approach, the group focuses on a wide array of topics such as upper atmosphere modelling - covering empirical, physics-based, and data assimilation techniques - radio propagation
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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studies for encapsulated nutrients using existing SIT analytical facilities. Support the design and execution of consumer surveys assessing Singapore consumers' acceptance of foods and beverages. Perform
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Requirements Master’s degree in Materials Science (specialising in cement and concrete), Civil Engineering, or a related discipline; a PhD will be an advantage. Demonstrated knowledge and hands-on experience in
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PhD level qualifications. High level analytical capability Ability to communicate complex information clearly Experience of undertaking semi-structured interviews/focus groups and experience of data
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contribute to the overall development of the team and project. Additional responsibilities include supporting team operations and taking on related tasks as needed. Job Requirements: Preferably PhD in computer
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. Any ad-hoc duties assigned by Supervisor. Job Requirements Essential PhD in Bioengineering, Chemical Engineering, Materials Science, Nanotechnology, Analytical Chemistry, or related fields. Strong
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, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from
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equivalence. Develop novel experimental or analytical methodologies to address current gaps in small sample meat texture characterisation and oral processing simulation. Consolidate experimental data
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into a continuous lab-scale system. Characterize and analyze chemical and biological products using advanced analytical techniques. Collaborate closely with project team members and external collaborators