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will develop algorithms and methods aimed at better detection and mitigation of GNSS interference events from either jamming or spoofing attempts. In addition to research within GNSS integrity
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on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial communities, for use in health science. We aim to expand these methods and their
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Job Description Would you like to join a team that supports the green energy transition by developing wind turbine response and validation methods and solutions? We are seeking a highly motivated
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of educational toolkits. In addition, the candidate has documented experience with research project managing, and with empirical, participatory, and/or research through design research methods, and finally has
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will be to: Model the optical, mechanical and optoelectronic properties of the fibers using ray tracing and finite element method models; Select and characterize soft materials for the fibers, and use
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candidate will bring their own creative ideas to the problem being addressed. The postdoc will use the following methods: Anaerobic and aerobic cultivation of bacteria with monitoring of oxygen, iron, and
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challenges, particularly in low- and middle-income countries (LMICs) where surveillance systems are often limited or lacking. Traditional laboratory-based methods, widely used in high-income countries
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programming and ease with formal thinking are prerequisites. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial
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characterization techniques and related data analysis methods for thin-film materials, as well as with the development of a local NOMAD Oasis data infrastructure for experimental materials science. The ability