32 software-engineering-model-driven-engineering-phd-position-"Prof" positions at Linköping University
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for! We are searching for a Systems developer in service development and operations for Linux at the AIDA Data Hub, belonging to the Department of Science and Technology, based at the Center for Medical
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application! We are looking for a PhD student in Visualization Technology and Methodology with a focus on interactive visualization, visual learning, science communication, and educational science, formally
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application! The position The principal research engineer will lead independent research projects focused on the integration and analysis of multi-omics data from clinical and population cohorts. Using data
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, particularly leadership ability. Regarding scientific skills, the following will be assessed: Requirements for the position are: - Doctoral degree in construction engineering, urban development, construction
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engineering, civil engineering, construction management, or a similar field. Particularly meritorious for the position are: Experience in publishing in internationally renowned journals. Experience in
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machine learning, to accelerate material development, optimize device design, and enable data-driven predictions of material behavior. Organic electronics and device modeling: Model properties and
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, particularly MIMO radar, and wave propagation channel modelling is highly desirable. We place particular emphasis on your ability to apply an interdisciplinary approach to problem-solving or your willingness
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into consideration. The following education, experience, and expertise are required: A PhD in biomedical engineering, (bio-)physics, applied physics, materials science, (organic) chemistry, or equivalent Electrical
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Technology, Campus Norrköping. Your work assignments This position is motivated by the need for reliable visualization and data analysis methods that support understanding of the increasing amount
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of the material and its properties. This research position focuses on computational approaches to assess the influence of the material microstructure on structural integrity, incorporated in technical models