118 computational-physics "https:" "https:" "https:" "https:" "IFM" positions at University of Southern Denmark
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intellectual and academic leadership in Digital Design and/or Construction Automation and leading new research directions with the potential to transform practice. Leading an internationally recognised programme
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technical team. Work structured and systematic and able to pass on knowledge. Effective oral and written communication skills (English). Basic computer skills and experience with data handling. We offer We
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characteristics: be self-motivated, having a can-do attitude, willing to learn be able to program in C plusplus; ; and/or Python be at least familiar with ROS2 and Linux have decent understanding of robotics
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. You work independently and can manage and prioritize your own time. * Biology, Biochemistry, Molecular Biology, Mathematics, Computer Science, Physics, Chemistry or Pharmacy. Due to the nature
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the project include collecting YouTube or social media data and digital news content, using manual and computational methods to analyze this content, and collaborating with the European project team on a cross
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. Chemical reactor design, process upstreaming and downstreaming. Extraction, separation and purification of high value products from biomass and/or industrial waste streams. Innovation, development
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requirement of physical attendance. Work environment The candidate(s) will be part of SDU Center for Large Structure Production (LSP). LSP’s central ambition is to provide a physical “go-to” lab for companies
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behavioral measures in healthy human participants combined with quantitative modelling. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and
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have practical applications, such as optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret
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) using a novel cell culture model. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics