52 web-programmer-developer "PhD Jobs.NET" Fellowship positions at University of Bergen in Norway
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to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole electromagnetic data during drilling. This includes the further development
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the project/work tasks: The overall goal of this PhD project is to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole
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development, while contributing to finding solutions with practical significance for the energy transition in society. The high demand in the labour market for personnel with the knowledge and skills
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of the Santos and Campos Basins, Brazil, to develop a tectono-stratigraphic framework for the salt and its sedimentary overburden. Use 2D numerical forward models to test different salt basin geometries, intra
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unique opportunity for specialisation and personal development, while contributing to finding solutions with practical significance for the energy transition in society. The high demand in the labour
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supra-salt seismic surfaces from sub-areas of the Santos and Campos Basins, Brazil, to develop a tectono-stratigraphic framework for the salt and its sedimentary overburden. Use 2D numerical forward
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for antibiotics against Pseudomonas aeruginosa and other Gram-negative bacteria", funded through the FRIPRO programme from the Research Council of Norway. The main objective of this project is to develop potent
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"Validating fatty acid synthesis enzymes as targets for antibiotics against Pseudomonas aeruginosa and other Gram-negative bacteria", funded through the FRIPRO programme from the Research Council of Norway
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the research project that will lead to the PhD degree. It is a condition that you satisfy the enrolment requirements for the PhD programme at the University of Bergen. We can offer: Exciting development
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postdocs, another doctoral fellow, a research adviser, a data management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train