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/cognition-and-clinical-neuropsychology/ , at the Department of Psychology, University of Copenhagen. Qualification requirements The candidate must have obtained a PhD degree in mathematics, statistics
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, households) to discover and model macro level regularities that eventually shall help reveal general principles of birth, renewal, aging, and death. Required qualifications PhD in demography, mathematics
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Postdoctoral researcher position/Postdoc in anti-methanogenic potential of bromoform and novel no...
. The research initially includes in vitro screening for effects of selected seaweed products on pure cultures of methanogens. Further, based on an in vivo trial, the work aims to generate comprehensive
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verification. runtime analysis and reconfiguration of in-vehicle TSN networks. Co-supervise MSc and PhD students. Optionally contribute to teaching and proposal preparation. Required qualifications: As a formal
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collaborations between experimental and theoretical researchers. The center enjoys connections to other quantum science activities in Copenhagen, for example in quantum optics and mathematical quantum information
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and efficient data transmission, fault-tolerant communication, and navigational data integrity will also be explored. The ideal candidate has completed a PhD in mathematics, or related fields, with a
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PhD students working on related topics, creating a highly interdisciplinary and supportive research environment in one of the largest cyber-deception groups in the world. Additionally, you will have
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biology, genetics and basic human biology, including chemistry, biochemistry, physiology, as well as anatomy. Key criteria for the assessment of applicants Applicants should hold a PhD degree in cell
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for analysis and dynamic configuration. Publish results in high-impact venues. Collaborate with academic and industrial partners in Shift2SDV. Co-supervise MSc and PhD students. Optionally contribute to teaching
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and