11 image-processing-and-machine-learning-"RMIT-University" PhD positions at University of Copenhagen
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used will be Density Functional Theory, statistics, machine-learning and dynamics. Collaboration with members of other research groups at UCPH and abroad is required. Who are we looking for? We
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can have a background from experimental and theoretical quantum opto- or electromechanics, nanomechanics, NV magnetometry and imaging, and low-temperature techniques. We are looking for individuals
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2) and ensures a smooth transition to partners for later stages of development. By connecting science, innovation, clinical trials, regulatory processes, and product development, NIVI aims
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according to the (relevant/local) context so as to attain the desired goals (learning ability) Language skills: fluent English, ability to understand swiftly and express clearly Application and Assessment
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involves the use of quantum chemistry, machine learning, and genetic algorithms to search for new homogeneous chemical catalysts. Who are we looking for? We are looking for candidates within the field
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within the League Secretariat. (2) To examine the often-contested formation of hierarchies within the League Secretariat via state-of-the-art digital approaches. (3) To investigate how processes
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*************************************************************************** Application and Assessment Procedure Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below. Please include: Motivated letter of application (max
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to the PhD project ie. processing and analysis of dietary intake data, statistical analyses (eg. linear mixed models) as well as evaluation of child growth and body composition data. Relevant publications
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the understanding and chemical characterization of advanced bio-oils derived from lignocellulosic biomass and municipal solid waste. This research is critical for the commercialization of bio-oil upgrading processes
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new biological phenomenon, the formation of biomolecular condensates by liquid-liquid phase separation (LLPS), and how this emerging field can lead to entirely novel concepts to treat brain diseases