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Field
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reliable hydrogen-resistant circular steels. In this role, you will develop fundamental insights into the mechanisms governing hydrogen-induced degradation and failure of circular steels. As a PhD researcher
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documents. We give priority to complete applications. Additional comments The succinct information provided in this vacancy description may not allow you to make a clear final choice on the PhD project
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, see Section 6-1 of the PhD regulations for more information You must have a relevant Master's degree in mechanical and industrial engineering, chemical engineering, chemistry, and materials science or
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6 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mechanical and Industrial Engineering Research Field Engineering
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clinical or biomedical data analysis. In the selection process, considerable emphasis will be placed on the applicant’s scientific potential, analytical ability, independence, collaborative skills and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
processing data streams, with theories and methods for planning and logistics. The PhD research will focus on AI-enhanced planning of operations in shipbuilding supply chains, examining how AI techniques can
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 29 days ago
1 Sep 2026 Job Information Organisation/Company The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences Research Field Biological sciences » Biology Researcher
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
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Security research units, in collaboration with the Data Science Centre of Excellence of the Netherlands Defence Academy and the Netherlands Forensic Institute. The PhD researcher will operate
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experiments; collecting data on crop growth, botanical composition, yield, forage quality and related plant and environmental variables; processing and statistically analysing experimental data; contributing