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Field
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master's students in areas related to your expertise. Your competencies We expect you to have: A relevant master's degree in energy engineering, electrical engineering, mechanical engineering, chemical
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directly with speaker communities to ensure the technology is genuinely useful to them. You will gain deep expertise in machine learning and natural language processing, access to high-performance computing
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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research-based Honours or Master's degree, or equivalent, in mechanical engineering, aerospace engineering, biomedical engineering, applied physics or a closely related discipline. The degree should include
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
Researcher Arnaud Dechesne [email protected] , and Researcher Masoud Hasany [email protected] . You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk . If you are applying from
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for Scientific Research), Grenoble-INP (Grenoble Institute of Technology), and the University of Grenoble, affiliated with Inria (French National Institute for Research in Digital Science and Technology) and the
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for more information. You must have a relevant Master's degree in in information security, cybersecurity, electronics engineering, electrical engineering, embedded systems, computer science, or a closely
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support recipe optimisation for well-controlled materials and processes, you will investigate whether similar methods can be applied to mechanical recycling from heterogeneous waste streams. The ambition is
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The Faculty of Engineering, Department Toegepaste natuurkunde en fotonica, Research Group Brussels Photonics is looking for a PhD-student with a doctoral grant. More concretely your work package
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Mechanical Engineering Department Co-supervision of BSc and MSc projects complementary to this PhD project Candidate Profile You must have a two-year master's degree (120 ECTS points) or a similar degree with