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to this third-cycle studies which corresponds to four years. Position description We are seeking a PhD student to join our research team specializing in the analysis and modeling of multiphase flows. The research
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environmental conditions, including climate change. Through research, environmental analysis and education, we contribute knowledge about future sustainable land use and develop new solutions as a basis for
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. The candidate will be engaged in synthesis of new materials and characterization of these materials using BET/DFT surface area analysis, DSC, x-ray diffraction, Raman and IR spectroscopy etc. It is also planned
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simulations of hydrogen bunkering and transfer systems on board ships. Analysis of temperature development, mass and energy balances, and flow/pressure variations during fueling and operation. Material testing
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behavior during transport, compression, and fueling under realistic port conditions. Analysis of intermediate storage concepts tailored to different port profiles. Evaluation of energy efficiency and
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EU-MSCA PhD position: Molecularly imprinted polymers for phosphopeptide assays of oncogenic pathways
Good knowledge and interest in chemistry laboratory research Experience in organic chemistry such as synthesis, purification and analysis Interest in and ability to learn new techniques Ability to work
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summary of max 1,000 words must be included, outlining the methodology, theory, results/analysis. A CV in English demonstrating eligibility for doctoral studies in Sociology of Law. Degree certificates and
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than Swedish, Danish, Norwegian, or English, a summary of max 1,000 words must be included, outlining the methodology, theory, results/analysis. A CV in English demonstrating eligibility for doctoral
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courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits
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combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve