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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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institutions, one admitted candidate will advance methods to compute and analyse energy-related household inequality (EHI) using granular Norwegian household data, and the second admitted candidate will use
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additional training in cutting-edge imaging techniques and molecular methods to deepen the understanding of the mechanisms and genes at play. Duties of the position Complete the doctoral education (30 ECTS
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, differential equations, geometry/topology, numerical analysis, optimization, and statistics. Part of the research is also carried out in close cooperation with other fields of science and technology at NTNU, as
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at other ENERPOL institutions, one admitted candidate will advance methods to compute and analyse energy-related household inequality (EHI) using granular Norwegian household data, and the second admitted
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engineering Engineering » Control engineering Mathematics » Applied mathematics Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application
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-based control and perception methods can enhance the autonomy and precision of underwater manipulation operations, such as valve turning and retrieving objects from the sea floor. You will investigate
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, with a strong training in control of marine vehicles and/or robots. Additional training in machine learning methods is an advantage. Your degree must correspond to a five-year Norwegian program, where
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methods will be an advantage. Your higher education must equate 5 years of full-time studies on top of the entry requirements for first cycle studies (Bachelor’s degree) in Norway. For some countries this
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455 employees. The PhD specialisation NHH is pleased to announce vacancies at the Department of Business and Management Science. Candidates admitted to the PhD programme will receive the title of PhD
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. The objective of this PhD project is to develop learning-based methods for maritime tracking and prediction in time- and safety-critical applications. Artificial intelligence techniques will be utilized in order