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recognised research partnership formed between the Indian Institute of Technology Kanpur and La Trobe University that brings the two organizations' research capabilities together to build a critical mass of
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. You must have a relevant Master's degree in computer science, electrical engineering, imaging science or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120
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to the faculty's Doctoral Programme Excellent written and oral English skills are required Some knowledge or experience in safety and reliability engineering, such as standards or technical reports from ISO/IEC and
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Ability to follow instructions (evidenced by application) How to apply This is a multi-disciplinary program hence good candidates from chemistry, physics, environmental sciences or chemical engineering (or
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Doctoral Programme - PhD - Faculty of Engineering Science - NTNU You must have prominent skills in using GIS software (such as QGIS or ArcGIS Pro) and be comfortable working with large datasets. You must be
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motivated and self-driven PhD student with strong intellectual curiosity and interest in computational mechanics, data-driven design, and sustainable engineering. If this excites you and you want to make a
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This exciting opportunity is based within the Power Electronics and Machines Centre (PEMC) Research Group at Faculty of Engineering which conducts cutting edge research into enabling technologies
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of researchers who have transitioned or are transitioning from training environments in the physical/mathematical/computational sciences or engineering into postdoctoral work in the biological sciences, and who
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Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after
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in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV