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qualifications Publications at top machine learning or computer vision conferences (NeurIPS, ICML, ICLR, CVPR, AISTATS etc.) are highly meriting. Expertise in Bayesian methods, generative models, multimodal models
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analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
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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. Within the Division of Electromagnetics and
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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collaboration with society go hand in hand? At the Division of Computer and Systems Science, you will be part of a creative and dynamic environment with modern technical infrastructure, well-equipped facilities
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individuals Good computer literacy In addition, the following education, experience and expertise will strengthen an application: Experience of working with research team Experience and demonstrated expertise
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documented knowledge in computer programming, computer modeling or another related field. Furthermore, you must be able to communicate well in written and spoken English. The position also requires someone
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workload assessment and performance analytics. This interdisciplinary position combines machine learning, wearable computing, sensor fusion, signal processing, speech analytics, human-computer interaction
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and academic disciplines. The Academy is also home to the Lindblad Studio, an experimental laboratory for sound, media, music technology and computer-assisted composition. More about the Academy
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming