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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
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designing, conducting, and disseminating research on a contemporary topic. For a Ph.D. position, the goal is to complete doctoral-level education in order to obtain a doctoral degree. It is a temporary Ph.D
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face of adversity. Show curiosity and a strong motivation for the subject. Analyze data, assess different perspectives and draw well-founded conclusions. Be flexible and open to adjusting the plan
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to the PhD programme at the Faculty of Mathematics and Natural Sciences. Appointment to a research fellowship is conditional upon admission to the Faculty’s research training programme. A plan for the research
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employees’ needs. ----------------- The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian
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percent of the time period is allocated to teaching in the forestry at the department. The final doctoral education plan must be approved and agreed upon within three months after the start of the position
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requirements at the energy edge. Further, you will incorporate compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market optimization (demand
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the Hardware Reverse Engineering Laboratory (HRE Lab) at NTNU, together with its hardware analysis and reverse-engineering capabilities. The candidate will design and conduct controlled experiments
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requires that you: Work independently Present and discuss your research with other professionals Show curiosity and a strong motivation for the subject Are flexible and open to adjusting the plan
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Researcher bridging immunology, genomics and proteomics (academic-industry collaboration) ref 299482
-resolved LC-MS/MS proteomics. The candidate's responsibilities will encompass the development and analysis of mass spectrometry methods for antibody isolation and characterization, as well as designing and