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Field
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, or elemental analysis. Collaborative by nature. You work well in multidisciplinary and cross-sectoral teams. Communicative and precise. You can express your ideas clearly in English, both in writing and speaking
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, or erroneous data, Data cleaning and generation, Development of enhanced loss functions and information-theoretic methods for optimized data analysis, Machine learning-based image segmentation of tomographic
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contribute to sustainable and democratic development and be an attractive and inclusive place to study and work. About the position: At the Department of Natural History, University Museum of Bergen
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Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
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challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,600 employees in one
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aims to develop and test fundamental theory in applied organisational research. It covers issues from the micro to the macro level of analysis. The programme has two “centres of gravity” that provide
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of metabolic network modelling linked to epigenetics Carry out machine learning, and integrative analysis of large epigenome datasets Communicate research results in international conferences and journals Work
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Science, or related disciplines. You have an aptitude for experimental research and data analysis. Experience with programming and/or mathematical modelling is an advantage. Excellent written and oral
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engineering, applied physics, or applied mathematics, with proven experience (courses, projects, and work experience) in the field of wind energy or aerospace engineering. A combination of good mathematical and