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collaborate with members of different research groups within DTU BRIGHT or beyond and teach and supervise BSc and MSc students. Key selection criteria: Experience in microbiology, metabolomics, systems biology
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learning, with approximately 240 full-time researchers, including 80 PhD students, and 4,500 Bachelor’s and Master’s degree students. The school’s activities are characterised by a high degree of
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investigating how creative, experimental and practice-based learning cultures can be developed in vocational education. In relation to research, applicants should document: Experience, skills and achievements
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of importance for changes in effective populations sizes and genetic diversity patterns. Qualifications Ideally you have a PhD in natural sciences with a strong research background and several years of work
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-impact publications and knowledge dissemination in flagship forums Your profile The ideal candidate holds a PhD in Electrical Engineering, Electrochemistry, Energy Systems, or a closely related field
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interdisciplinary, collaborative project at the interface between nucleic-acid chemistry, DNA/RNA nanotechnology and cell biology. Your profile Applicants should hold a PhD in chemistry, molecular biology
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, you will contribute to research-based teaching and the supervision of student projects. Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and
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project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power
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. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
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. The Post Docs will be involved in all parts and activities of the research projects. The workload will be geared towards participation in coordination activities, data collection and data analysis, learning