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experience with advanced signal processing concepts as well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts
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employees and conducts research and teaching mainly in electrical engineering and computer technology. We are located on LTH's campus in northern Lund. At the Division of Electromagnetics and Nanoelectronics
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sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models that unlock
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University, which carries out multi-disciplinary research at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. Project Description The focus of the project
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. During the selection process, candidates will be assessed upon their ability to: a relevant degree, for instance in applied math, transport science, computer science, machine learning, AI documented
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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. The Assistant Professor will teach courses part of the Master's Programme in Physics – Meteorology and Climate Physics and, depending on their background, may also contribute to courses in related programmes
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, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional relationships from
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areas: asset pricing, derivatives and risk management, financial intermediation, and financial econometrics including machine-learning–based methods. The research portfolio should include experience in
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University is offering a postdoctoral scholarship within optical metrology linked to machine learning. The postdoctoral scholarship is full-time 6 months, beginning on October 15 , 2025, or as agreed upon