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disseminate research outcomes at national and international conferences. Eligibility: First or upper second-class academic qualification in Engineering or Physical Sciences or a related discipline. Some
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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Credentials. The position will start on 1 August 2026 or later. You should hold a master’s degree in Computer Science or a related field and have a strong background in cryptography or mathematics as
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The Crop Innovation Centre - Skills, Technology and Research Training Programme (CIC-START) is an industrial doctoral landscape award (IDLA) funded by BBSRC that tackles skills shortages in UK
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. The ability to write and present in Danish will be very valuable but it is not an absolute requirement. We welcome international applicants. While a relatively traditional background in economics can be useful
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Citizenship: International Students (excluding JCUS based) Applications close: 31 August 2026 Must commence: 1 January to 31 May 2026 Inclusions: Living allowance stipend $36,500pa in 2026
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 15 hours ago
. The maximum period of employment as an Associate is 5 years. Who can apply You are eligible for the Research Associate Program if you possess a Ph.D. in natural science or engineering or a Master's degree in an
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English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior
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8th April 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in computational mechanics Apply for this job See advertisement This is
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strong interest in biodiversity conservation and international environmental cooperation. It is not necessary for the candidate to have prior training in political science or social science methodologies