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research. Within this project, the postdoctoral researcher will assume a central role in the empirical implementation. The successful candidate will join the research group on non-formal education at
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for use in health science. The goal of this PhD project is to expand on these computational methods and their formal foundations and to create efficient algorithms and implementations of them. We
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contact Dr. Your profile PhD in Data Science, Environmental Science, or related disciplines Proven expertise in environmental science and data-driven research as PostDoc Experience in acquiring third-party
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interested in behavioral aspects pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally
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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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doctoral school consortium, IIMCB group leaders can supervise PhD students across disciplines (physics, chemistry, biology, medical sciences) without formal teaching duties, allowing you to focus fully
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) . The research section Management and Modelling develops methods and tools for herd management to promote animal welfare, green transitions, and economic viability for a sustainable future. Further, the section
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on fluctuation of fluorescent molecules methods as they don’t need any specific materiel or fluorophore. The super-resolved image reconstruction is formalized in mathematical terms as an inverse problem with
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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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coordinate consultancy tasks within the Department Teach and supervise students at the BSc, MSc and PhD levels within the scientific domain. Your profile The preferred candidate should demonstrate: Experience