36 web-programmer-developer-"https:"-"UCL"-"PhD-Jobs" Postdoctoral positions at Aalborg University
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the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. The postdoc will be part of the Microbial Metagenomics group
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obtainable using the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. Furthermore, the postdoc will aid in
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obtainable using the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. This postdoc position will utilize
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potable water, wastewater systems, and district heating/cooling systems. Link to the group web page: https://www.learning-decision.dk How to apply Your application must include the following: Application
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twobeautifulharbour-front locations in both Aalborg and Copenhagen. We have more than 250 employees and approximately 1,200 students across the twocities. Our research and study programmes arerooted in sustainability
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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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to ongoing research projects and actively support the development of future research initiatives. The candidate should be able to highlight research activities in the form of ISI’s Web of Science publications
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(https://www.classique.aau.dk). CLASSIQUE will address a suite of fresh research challenges defined by the intersection of digital applications that have real-time requirements and quantum resources
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Associate Professor Arijit Khan, Department of Computer Science. His research works can be found at , https://scholar.google.com/citations?user=6Y-m8k4AAAAJ&hl=en , and at https://dblp.org/pid/67/2933.html
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF