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compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial metagenomics and Oxford Nanopore Technologies sequencing, wet lab
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s
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the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
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activities, and support companies in bringing new solutions to market. You will join a dynamic team spanning DTU Compute and DTU Space, and work closely with experts across academia, industry, and public
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Job Description We offer an opportunity for a motivated researcher to contribute to advancing our understanding of how Earth's upper atmosphere interacts with space. The successful candidate will study magnetosphere-ionosphere coupling, with an emphasis on the electrodynamic interactions that...
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sector consultancy and participation in activities related to our advice and related work program with the Danish Agency for Climate Data (KDS). The GEO division also contributes actively to the centers
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. The candidate will be expected to collaborate with young and senior researchers on the new research programme: Civil Engineering and the Green Transition in the Built Environment (CEBE). This includes
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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