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be paid to the following experiences: -Experience in sampling and analyses of building materials -Experience in Life Cycle Analysis in construction sector. -Experience in building information modeling
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
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Computational Arts, Music, and Games within the DSAI division. About the research project This position is related to investigating learned cultural representations in data search spaces of generative AI models
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evaluation frameworks and/or the development of energy system optimization models. The research is applied and closely linked to industrial interests and needs. About the research Our research aims to provide
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-based techniques, based on nano-DESI and electrospray ionization, will be developed further and coupled to modern mass spectrometers. As a PhD candidate you will be involved in all the steps
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protein research to develop new biomarkers for earlier diagnosis and treatment response. Within the research group, we value a good work environment based on respect and care in our interactions with one
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based primarily on: Knowledge and skills relevant to doctoral studies within the research area. The ability to formulate and solve scientific questions. Skills in written and oral communication in English
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) qualification. Alternatively, you must have conducted a minimum of four years of full-time study, of which a minimum of one year at second-cycle level. Applicants will be selected based on their written
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qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
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based primarily on: 1. Knowledge and skills relevant to doctoral studies within the research area, 2. The ability to formulate and solve scientific questions. 3. Skills in written and oral