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The Department of Mathematics and Computer Science at the University of Southern Denmark, Vejle, invites applicantions for PhD positions with a focus on Software Architectures and Mining Software
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to structured spectral annotation supporting advanced downstream data analysis (in collaboration with a dedicated postdoc) Present research findings through peer-reviewed publications and international
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charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students working collaboratively
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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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a small multicultural research group with PhD students and postdocs of different nationalities. Thus, the group’s communication is in English. We aim to analyze the metabolic homeostasis
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
on sustainable feedstocks. Supervise and mentor PhD students and postdocs. Drive national and international research funding applications. Collaborate with academic and industrial partners, including engagement
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-body positron emission tomography (PET) with magnetic resonance imaging (MRI). In conjunction with the development of algorithms, dedicated software and hardware-based simulations will be developed
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning