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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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Postdoctoral Position in the Research Unit for Robophilosophy and Integrative Social Robotics (RISR)
culturally sustainable social robotics as developed at the research unit RISR. (Background information on ISR is provided at the project’s webpage). DARE will also benefit from close collaborations with
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information Further information may be obtained from Senior Researcher Jean-Claude Grivel (jean@dtu.dk). You can read more about DTU Energy at www.energy.dtu.dk . If you are applying from abroad, you may find
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, mechanical and durability testing, and integration with advanced machine learning models. The postdoc will collaborate closely with CEBE’s parallel work packages. Experimental and analytical data generated in
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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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computer science and mathematics, a BSc in artificial intelligence, an MSc degree in data science, and an MSc in quantum computing. Candidate Profile We are looking for highly motivated candidates interested in
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. The period of employment is 1 year. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Jens K. Nørskov (jkno@dtu.dk). You can read
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technologies and data analysis as well as research management, oral and written communication, and networking. Participation to international conferences to facilitate successful integration into the green
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the area of employment is Aarhus University with related departments. Contact information For further information, please contact: Assoc. Prof. Michal K. Budzik, +45 4189 3217, mibu@mpe.au.dk . Deadline
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the ERC Starting Grant research project “Exploiting Nanopore sequencing to discover what microbes eat (NanoEat)” with the aim to combine state-of-the-art metagenome sequencing with state-of-the-art data