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validate adaptive mechanisms for LoRaWAN based on machine learning techniques, targeting improved reliability and energy efficiency in mobile scenarios. To achieve this, it is necessary to go beyond
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on the career stage), in any area of psychology. In line with our strategic priorities, we are particularly keen to appoint colleagues with strong statistical expertise (big data, longitudinal
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. The Department of Economic History is a research-intensive department that employs about 80 people: researchers, teachers, technical/administrative staff, and Ph.D. candidates. The department has a large PhD
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on the career stage), in any area of psychology. In line with our strategic priorities, we are particularly keen to appoint colleagues with strong statistical expertise (big data, longitudinal
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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, Technology and Information in Human-Computer Interaction (HCI), with a focus on responsible computing. The successful candidate will have an interest in online safety, including areas such as social media
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, Technology and Information in Human-Computer Interaction (HCI), with a focus on responsible computing. The successful candidate will have an interest in online safety, including areas such as social media
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of Machine Learning, Computer Vision, Large Language Models and related technologies. Relevant publications – articles in peer-reviewed scientific journals indexed in WOS with an impact factor. Excellent
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of the following subjects: scalable data management, systems for machine learning, distributed and parallel systems, or cloud-based systems. We are especially interested in researchers who build working systems and
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Responsibilities This analyst will work under the guidance of investigator in the Center for Biomedical image Computing and Analytics (http://www.cbica.upen n.edu/, CBICA), Aris Sotiras, PhD. The work involves