124 data-"https:"-"https:"-"https:"-"https:"-"UWE,-Bristol" Postdoctoral positions in Denmark
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Engineering and Materials & Process Engineering. Close collaboration with our neighbouring Departments (Biosciences, Food, Agroecology, Chemistry, Mechanical Engineering, Electrical & Computer Engineering
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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practice, this means leading groups composed of a few students in different projects and includes guiding them during experiments, data analysis and in the writing of research documents. You are also
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sensing and responding to the chemical landscape surrounding them as well as the chemical signals inside of them. This project is devoted to gather large data sets to investigate links in olfactory receptor
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can read more about career paths at DTU here . Further information Further information may be obtained from Professor Rasmus Bjørk, +45 46 77 58 95, rabj@dtu.dk You can read more about DTU Energy at
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on establishing a foodborne disease surveillance system in Ethiopia, while also supporting other research activities in the group, such as applying genetic data to health impact assessments. Responsibilities and
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. Specifically, the pharmacoepidemiological research group utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations
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time to visit Work in Denmark where you will find information and facts about moving to, working and living in Denmark, as well as the International Staff Office at SDU . Contact information For more
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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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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