74 structures-"https:"-"https:"-"https:"-"https:"-"University-of-Rijeka" PhD positions in Norway
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technical designs for pumped storage plants. The main focus will be on the tailrace tunnel system and outlet structure (pumping intake), but the research includes the whole, overarching plant design
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the timeframe ability to work independently and in a team, be innovative and creative ability to work structured and handle a heavy workload having a good command of both oral and written English via Unsplash
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with standard-grounded assurance principles into a coherent theoretical structure. The PhD candidate will conduct fundamental research on how monitoring information can be used to evaluate adaptive
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particular research field Be structured, solution-oriented, and able to manage multiple tasks and deadlines. Willingness to conduct national and/or international research stays Have good communicational and
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interdisciplinary research across social, psychological and health sciences. Ability to think creatively within a scientific framework. Well-organised and able to structure own work. We are looking for you who is
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capability of conducting long field campaigns. Ability to work independently and in a structured manner and demonstrate good collaborative skills. Experience in plant identification. Experience and skills in
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diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training
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. Candidates will be required to take a mandatory course (5-7.5 ECTS credits) on Theories of Information and Library Science and Archival Science. The course is structured such that 5 ECTS credits are mandatory
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diploma. Programme description and structure Single courses Career The target group of this programme is those who wish to achieve research competence in sustainability studies, within the areas of design
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in English Solid knowledge in finite element analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks